Planning Engineer Jobs in Tunisia

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst is transforming the way businesses hire and manage global teams.<br> Our mission is to enable Freedom of Work by providing an all-in-one global HR platform that simplifies hiring, compliance, payroll, and benefits management.<br> We partner with some of the world’s most innovative companies, including Fortune 500 businesses and leading startups.<br> We are a small but strong team of 250+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships.<br> As a Senior AI Engineer, you will build production-grade conversational AI systems and has a strong foundation in modern AI technologies and hands-on experience designing, evaluating, testing, and deploying AI applications at scale.<br> Responsibilities Design, develop, and maintain production-grade conversational AI systems.<br> Own AI features from technical design through deployment and production support.<br> Design scalable AI architectures and agent workflows.<br> Build and maintain AI evaluation frameworks, benchmarks, and automated testing pipelines.<br> Continuously improve AI quality through experimentation, evaluation, and data-driven optimization.<br> Integrate multiple AI providers and select the best models for different use cases.<br> Monitor production AI systems and proactively improve reliability, quality, and performance.<br> Collaborate with product, frontend, and backend teams to deliver end-to-end AI features.<br> Review technical designs and contribute to engineering best practices.<br> Troubleshoot complex AI and production issues while ensuring high-quality, maintainable solutions.<br> Stay up to date with the latest advancements in Generative AI and apply them where they create business value.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Product Designer, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Lead AI Engineer which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation.<br> 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of experience building AI-powered applications in production.<br> Strong knowledge of Large Language Models (LLMs), prompt engineering, AI agents, RAG, tool calling, structured outputs, and orchestration frameworks.<br> Proven experience designing and developing conversational AI systems (voice and/or chat applications).<br> Strong understanding of AI system design, including context management, memory, retrieval, multi-agent workflows, and reasoning pipelines.<br> Experience building AI evaluation frameworks, automated testing pipelines, benchmarking, and regression testing.<br> Demonstrated experience improving AI quality through iterative evaluation and experimentation.<br> Strong software engineering fundamentals, including clean architecture, design patterns, testing, and maintainable code.<br> Experience integrating multiple AI providers such as OpenAI, Anthropic, Gemini, or similar.<br> Experience deploying, monitoring, and maintaining AI applications in production environments.<br> Full-stack development experience with modern backend and frontend technologies.<br> Experience with cloud platforms, APIs, CI/CD pipelines, and production deployments.<br> Strong analytical and problem-solving skills.<br> Ability to evaluate multiple AI approaches and select the most effective solution based on quality, reliability, latency, and cost.<br> Ability to independently own complex AI projects from design through production with minimal supervision.<br> Nice to Have Experience building traditional ML applications.<br> Experience with AI observability, tracing, and monitoring.<br> Experience mentoring engineers and driving engineering best practices.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled Data Quality Engineer to play a key role in designing, implementing, and maintaining data quality frameworks that support our clients' data and analytics initiatives. The ideal candidate combines strong technical expertise in data quality management with the ability to understand business processes and translate requirements into scalable, maintainable, and governed data quality solutions. You will work closely with data architects, data engineers, business analysts, data governance teams, and business stakeholders to define data quality requirements, establish validation standards, and implement controls that ensure data accuracy, completeness, consistency, and reliability across enterprise data platforms. Key Responsibilities: Collaborate with business stakeholders, data architects, governance teams, and data engineers to gather and analyze data quality requirements. Design, develop, and maintain data quality frameworks, validation rules, and monitoring processes across enterprise data assets. Profile and analyze data sources to identify quality issues, anomalies, patterns, and improvement opportunities. Define, implement, and maintain data quality rules across key dimensions including completeness, accuracy, consistency, uniqueness, validity, and timeliness. Translate business requirements and critical data elements (CDEs) into measurable and actionable data quality controls. Design and implement automated data validation, reconciliation, and monitoring processes. Work closely with data integration and engineering teams to embed data quality controls within data pipelines and transformation processes. Support data governance initiatives through metadata management, data lineage documentation, data cataloging, and quality reporting. Monitor data quality performance indicators and investigate root causes of recurring data quality issues. Collaborate with business and technical teams to identify remediation actions and continuous improvement opportunities. Ensure compliance with organizational data governance standards, regulatory requirements, and industry best practices. Support data warehousing, reporting, and analytics initiatives by ensuring the availability of trusted and high-quality data assets. Participate in solution reviews and promote best practices related to data quality management and governance. Document data quality rules, validation logic, data flows, issue management processes, and technical specifications.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Required Qualifications:</strong> Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field. Minimum 2 years of hands-on experience in data quality, data engineering, data governance, or related data management disciplines. <strong>Preferred Qualifications:</strong> Experience with enterprise data quality and data integration platforms such as Informatica IDMC, IICS, PowerCenter, and Informatica Data Quality (IDQ) . Familiarity with data cataloging, metadata management, and data governance platforms. Experience working within regulated environments and familiarity with Saudi NDMO and NDI requirements . Experience implementing data quality KPIs, scorecards, and monitoring dashboards. Familiarity with REST APIs, data ingestion frameworks, and modern cloud data platforms. Experience supporting CI/CD practices and deployment processes within data environments.</p><p><strong>What We Are Looking For:</strong> We are looking for someone who is passionate about improving data trust and reliability across the organization. The ideal candidate proactively identifies data quality risks, challenges assumptions, investigates root causes, and collaborates effectively with both business and technical teams to ensure that data remains accurate, consistent, governed, and fit for purpose.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Venari Security is looking for a senior platform-minded integration engineer, architect, or independent consultant who can take ownership of complex integration capabilities from specification through design, build, validation, and delivery.</p><br> <p>This is not a narrow coding assignment. You will define and deliver production-grade integrations that connect Venari’s Adaptive Cryptographic Intelligence Platform with leading cloud providers, cybersecurity platforms, enterprise systems, and SaaS solutions. The ideal candidate can understand an existing platform architecture, identify the right extension points, specify the subsystem to be built, and deliver it autonomously with the right security, reliability, and operational foundations.</p><br> <p>You will work at the intersection of platform engineering, cloud architecture, API design, and integration security, helping Venari build a scalable integration layer for AWS, Azure, major cybersecurity ecosystems, and high-value SaaS environments.</p><br> <p><span>Mission and Scope of Work</span></p><br> <ul> <li>Own the end-to-end delivery of integration subsystems: clarify requirements, write technical specifications, design the architecture, build the services, validate behavior, and prepare production release.</li> <li>Design scalable integration patterns for major cloud providers, especially AWS and Azure, including secure access, discovery, data ingestion, event handling, and operational monitoring.</li> <li>Build robust APIs, connectors, webhooks, and integration services for cloud platforms, cybersecurity tools, CMDBs, SIEMs, vulnerability management platforms, identity providers, and enterprise SaaS solutions.</li> <li>Implement secure authentication, authorization, and secret-management flows using standards such as OAuth2, OpenID Connect, SSO, RBAC, API keys, signed requests, and cloud-native identity mechanisms.</li> <li>Understand Venari’s platform architecture and build on top of it without creating isolated, hard-to-maintain components.</li> <li>Deliver integration configuration workflows and UI components that make setup, testing, monitoring, and troubleshooting simple for users.</li> <li>Build for production from the start: observability, retries, rate-limit handling, caching, error handling, auditability, automated tests, documentation, and deployment readiness.</li> </ul> <p><span>What You Will Deliver</span></p><br> <ul> <li>Clear technical specifications for each integration subsystem, including architecture, data flows, security model, edge cases, and delivery plan.</li> <li>Production-ready backend services, APIs, connectors, and integration components aligned with Venari’s platform architecture.</li> <li>Secure cloud and SaaS integration capabilities for AWS, Azure, and selected enterprise platforms.</li> <li>Authentication and authorization modules covering OAuth2, OpenID Connect, SSO, RBAC, token lifecycle, and secure credential handling.</li> <li>Configuration screens, validation workflows, and operational views that allow users to configure, test, and monitor integrations.</li> <li>Automated tests, CI/CD readiness, logging, metrics, deployment notes, and technical documentation that allow the core team to maintain and extend the work.</li> </ul> <p><span>What We Are Looking For</span></p><br> <ul> <li>A senior engineer, architect, or technical consultant with more than 10 years of experience delivering enterprise software solutions at scale, with proven ability to specify, build, and deliver systems or subsystems autonomously, not only implement assigned tickets.</li> <li>Strong ability to understand an existing SaaS platform architecture, identify reusable platform capabilities, and build extensions that are coherent, maintainable, and scalable.</li> <li>Hands-on experience with cloud integrations on AWS and Azure, including IAM, service APIs, event services, networking constraints, credentials, permissions, and security boundaries.</li> <li>Strong API engineering background, including REST APIs, webhooks, asynchronous integration patterns, API gateways, rate limiting, pagination, retries, versioning, and backward compatibility.</li> <li>Deep understanding of integration security: OAuth2, OpenID Connect, SSO, RBAC, least privilege, token handling, secrets management, encryption in transit, audit logging, and secure error handling.</li> <li>Strong backend engineering experience, ideally with Spring Boot, microservices, containers, automated testing, and production-grade observability.</li> <li>Ability to communicate architecture decisions clearly, write practical technical documentation, and collaborate with product, frontend, backend, infrastructure, and security stakeholders.</li> </ul> <p><span>Experience That Will Stand Out</span></p><br> <ul> <li>Delivered integrations with AWS services, Azure services, identity providers, security tools, observability platforms, CMDBs, SIEMs, vulnerability management tools, or enterprise SaaS products.</li> <li>Built integration platforms, connector frameworks, developer-facing APIs, or extensibility layers used by multiple customers or product teams.</li> <li>Experience with event-driven architectures, queues, streaming, scheduling, sync engines, data pipelines, Kafka, CrateDB, PostgreSQL, or similar technologies.</li> <li>Hands-on experience with Docker, Kubernetes, Terraform, Helm, cloud-native deployment models, and CI/CD automation.</li> <li>Strong product sense: able to translate an integration use case into a reliable user workflow, not only a technical connector.</li> </ul> <p><span>Why This Is Interesting</span></p><br> <ul> <li>You will help shape the integration layer of a platform focused on cryptographic discovery, crypto agility, and the security challenges created by modern encrypted infrastructure.</li> <li>You will build integrations at scale with the platforms that matter most to enterprise customers: cloud providers, cybersecurity ecosystems, identity platforms, and SaaS solutions.</li> <li>You will have real ownership: define the right approach, make architecture decisions, deliver working subsystems, and leave behind a foundation the product team can extend.</li> <li>You will work on a technically meaningful problem where cloud security, API design, platform architecture, and product usability meet.</li> </ul> <p><span>Engagement Details</span></p><br> <ul> <li>Contract Type: Project-based (Independent Consultant / Contractor)</li> <li>Duration: Initial 3-month engagement, with extension subject to review of progress and delivery quality.</li> <li>Location: Hybrid</li> <li>Start Date: ASAP</li> </ul> <p><span>About Venari Security</span></p><br> <p>Venari Security provides organisations with advanced visibility into their encrypted attack surface, ensuring regulatory compliance and privacy adherence through our cryptographic discovery tool. Our focus is on crypto agility which helps you assess both external and internal cryptographic risks, preparing your business now and for the quantum future.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist.<br> We are on a mission to be the FIRST to revolutionise the industry and be a truly generational company.<br> Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, enabling clients to hire anyone from anywhere with one click.<br> RemoFirst manages employees and contractors for Fortune 500 companies (e.<br>g., Microsoft, Mastercard) and the best startups worldwide (e.<br>g., TransferGo).<br> We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc.<br> 5000 list of fastest-growing companies in 2025.<br> Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations.<br> We are looking for a Senior Data Engineer to design, build, and operate a scalable, cloud-native data platform that supports both analytics and AI-driven use cases.<br> This role goes beyond traditional data warehousing .<br>You will work closely with AI engineers to build the data foundation that powers LLM applications, agent-based systems and RAG solutions.<br> You will be responsible for building reliable data pipelines, developing curated data models and products, and ensuring high-quality, trusted data is readily available for analytics and AI workloads.<br> Key Responsibilities Design, build and maintain scalable data pipelines using modern data engineering tools (e.<br>g., dbt, Airflow, Prefect).<br> Develop and maintain dimensional and semantic data models to support analytics and operational use cases.<br> Build curated data products that support analytics and modern AI workloads.<br> Design data schemas and storage strategies optimized for both analytical and AI workloads.<br> Build and maintain version control workflows and isolated development/test environments.<br> Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency.<br> Contribute to the architecture and evolution of the organization's modern data platform.<br> Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Senior Product Owner, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Data Lead which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation and 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of hands-on experience in Data Engineering with proven delivery in production environments.<br> Strong expertise in building scalable data pipelines using Python and SQL.<br> Hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar.<br> Strong experience with dimensional data modeling and semantic data models.<br> Experience working with cloud platforms (AWS preferred), including services such as S3, Redshift, Athena, Glue, and Lambda.<br> Hands-on experience designing, building and operating modern data infrastructure, including storage, compute, orchestration, and monitoring.<br> Familiarity with modern AI architectures and the data requirements for LLMs, AI agents and RAG applications.<br> What we are looking for Strong ownership mindset with the ability to thrive in a fast-paced startup environment.<br> Ability to translate evolving business, analytics and AI requirements into scalable data solutions.<br> Effective communicator who collaborates well across Data, AI, Product, and Engineering teams.<br> A senior engineer who balances architectural thinking with hands-on execution.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>At Devoteam, we believe that technology, combined with strong human values, can<br> actively drive change for the better. Discover how Tech for People is shaping the future,<br> creating a positive impact on individuals and the world around us.</p><br><p><br> With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.</p><br><br>Job Description<br><p>We are seeking a highly skilled <strong>Data Quality Engineer</strong> to play a key role in designing, implementing, and maintaining data quality frameworks that support our clients' data and analytics initiatives. The ideal candidate combines strong technical expertise in data quality management with the ability to understand business processes and translate requirements into scalable, maintainable, and governed data quality solutions.<br> You will work closely with data architects, data engineers, business analysts, data governance teams, and business stakeholders to define data quality requirements, establish validation standards, and implement controls that ensure data accuracy, completeness, consistency, and reliability across enterprise data platforms.<br> <br> <br> <strong>Key Responsibilities:</strong></p><br><ul><li>Collaborate with business stakeholders, data architects, governance teams, and data engineers to gather and analyze data quality requirements.</li><li>Design, develop, and maintain data quality frameworks, validation rules, and monitoring processes across enterprise data assets.</li><li>Profile and analyze data sources to identify quality issues, anomalies, patterns, and improvement opportunities.</li><li>Define, implement, and maintain data quality rules across key dimensions including completeness, accuracy, consistency, uniqueness, validity, and timeliness.</li><li>Translate business requirements and critical data elements (CDEs) into measurable and actionable data quality controls.</li><li>Design and implement automated data validation, reconciliation, and monitoring processes.</li><li>Work closely with data integration and engineering teams to embed data quality controls within data pipelines and transformation processes.</li><li>Support data governance initiatives through metadata management, data lineage documentation, data cataloging, and quality reporting.</li><li>Monitor data quality performance indicators and investigate root causes of recurring data quality issues.</li><li>Collaborate with business and technical teams to identify remediation actions and continuous improvement opportunities.</li><li>Ensure compliance with organizational data governance standards, regulatory requirements, and industry best practices.</li><li>Support data warehousing, reporting, and analytics initiatives by ensuring the availability of trusted and high-quality data assets.</li><li>Participate in solution reviews and promote best practices related to data quality management and governance.</li><li>Document data quality rules, validation logic, data flows, issue management processes, and technical specifications.</li></ul><br>Qualifications<br><p>Required Qualifications:</p><br><ul><li>Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field.</li><li><strong>Minimum 2 years of hands-on experience in data quality, data engineering, data governance, or related data management disciplines.</strong></li></ul><p><br> Preferred Qualifications:</p><br><ul><li>Experience with enterprise data quality and data integration platforms such as <strong>Informatica IDMC, IICS, PowerCenter, and Informatica Data Quality (IDQ)</strong>.</li><li>Familiarity with data cataloging, metadata management, and data governance platforms.</li><li>Experience working within regulated environments and familiarity with <strong>Saudi NDMO and NDI requirements</strong>.</li><li>Experience implementing data quality KPIs, scorecards, and monitoring dashboards.</li><li>Familiarity with REST APIs, data ingestion frameworks, and modern cloud data platforms.</li><li>Experience supporting CI/CD practices and deployment processes within data environments.</li></ul><p><br> <br> What We Are Looking For:<br> We are looking for someone who is passionate about improving data trust and reliability across the organization. The ideal candidate proactively identifies data quality risks, challenges assumptions, investigates root causes, and collaborates effectively with both business and technical teams to ensure that data remains accurate, consistent, governed, and fit for purpose.</p><br><br>Additional Information<br><p>Fluency in Arabic &amp; English is highly desirable</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Position:</b>CCoE, Cloud Architect<br><b>Job Description:</b><p>The Cloud and AI Center of Excellence is the technical resource for helping partners grow and manage their cloud business. As a member of this integral team you will be exposed to all the hyperscalers and many ISVs that reside in that ecosystem. You will also understand how partners work with these providers to design and implement innovative solutions for the SMB and Enterprise.<br>You will become a trusted advisor and guide for driving revenue at scale through ArrowSphere, our cloud management platform.</p><br><br><br><p><b>What You'll Be Doing</b></p><br><br><ul><li>Consult, develop and implement technical and related sales enablement plans with partners and internal/external customers to support revenue and margin goals.</li><li>Provide Technical Support, complex sales tool configurations, and systems design to implement systems software solutions and/or products.</li><li>Conduct partner and sales technical team training. Assist Arrow customers and partners with technical certifications, or with product/technology demonstrations.</li><li>Obtain training and maintain knowledge of industry standards, new technologies and current issues.</li><li>This job profile requires the assignment and participation in a sales compensation plan. &nbsp;A portion of OTE will be variable and tied to specific sales-related goals as set forth by Arrow.</li></ul><br><p><b>What We're Looking For</b></p><br><br><ul><li>Certified Solutions Architect or Solutions Engineer in at least one of the major hyperscalers is required.</li><li>Experience and knowledge working with partners in the cloud ecosystem is required.</li><li>Required to travel up to 50% of the time.</li><li>Requires in-depth knowledge and experience</li><li>Solves complex problems; takes a new perspective using existing solutions</li><li>Works independently; receives minimal guidance</li><li>Acts as a resource for colleagues with less experience</li><li>Represents the level at which career may stabilize for many years or even until retirement</li><li>Uses best practices and knowledge of internal or external business issues to improve products/services or processes</li><li>Typically resolves complex problems or problems where precedent may not exist</li><li>Often leads the work of project teams; may formally train junior staff&nbsp;</li><li>Works independently</li></ul><p><br><b>Experience / Education</b></p><br><br><p>Typically requires a minimum of 5 years of related experience with a 4 year degree; or 6 years and an advanced degree; or equivalent experience.</p><br><br><br><p><b>Work Arrangement</b></p><br><br><p><span><span>Fully Remote: Must be able to travel to an Arrow office location as requested by Arrow leadership.&nbsp;</span></span></p><br><br><br><p><b>What's In It For You</b></p><br><br><p><span><span>At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job.</span><span>That’s</span><span>why we offer competitive financial compensation, including various compensation plans and a solid benefits package.</span></span></p><br><br><ul><li><span><span>401k, With Matching Contributions</span></span></li><li><span><span>Short-Term/Long-Term Disability Insurance</span></span></li><li><span><span>Medical, Dental, Vision Insurance</span></span></li></ul><br><ul><li><span><span>Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options</span></span></li><li>Reinstatement return eligible</li><li><span><span>Paid Time Off</span></span><span><span>(including</span><span>sick</span><span>, holiday, vacation, etc.)</span></span></li><li><span><span>Tuition Reimbursement</span></span></li><li><span><span>Growth Opportunities</span></span></li><li><span><span>And more!</span></span></li></ul><br><br><b>Annual Hiring Range/Hourly Rate:</b><br>$115,800.00 - $160,050.00<br><p><span>Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer.</span></p><br><br><b>Location:</b>US-CO-Colorado (Remote Employees)<br>Remote work employees may be required to be present at the closest designated Arrow office for work-related purposes, at the Company’s request and sole discretion.<br><b>Time Type:</b>Full time<br><b>Job Category:</b>Sales<br><b>EEO Statement:</b><p><span>Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status.&nbsp;</span>(Arrow EEO/AAP policy)</p><br><br><p><br><i>All Arrow job postings are for existing job vacancies</i>. <i>We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.</i></p><br><br><br><p><i><span>In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.</span></i></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Position:</b>Applications Engineer<br><b>Job Description:</b><p><span><b><span>What You’ll Be Doing:</span></b></span></p><br><br><ul><li><p><span>Designs and develops software solutions to meet business requirements. Manages full software development life cycle including testing, implementation, and auditing. Performs product design, bug verification, and beta support, which may require research and analysis. Operates under moderate supervision. Usually reports to the Manager of Software Development. </span></p><br><br></li><li><p><span>Execute, assess, and troubleshoot software programs and applications. Analyze and amend software errors in a timely and accurate fashion. </span></p><br><br></li><li><p><span>Coding, developing, and documenting software specifications throughout the project life cycle. Participate in software upgrades, revisions, fixes and patches as mandated by the vendor.</span></p><br><br></li></ul><br><p><span><b><span>What We Are Looking For:</span></b></span></p><br><br><ul><li><p><span>Typically requires 5–7 years of related experience with a 4 year degree; or 3 years and an advanced degree; or equivalent work experience.</span></p><br><br></li><li><p><span>Requires in-depth knowledge and experience </span></p><br><br></li><li><p><span>Solves complex problems; takes a new perspective using existing solutions </span></p><br><br></li><li><p><span>Works independently; receives minimal guidance </span></p><br><br></li><li><p><span>Acts as a resource for colleagues with less experience </span></p><br><br></li><li><p><span>Represents the level at which career may stabilize for many years or even until retirement </span></p><br><br></li><li><p><span>Contributes to process improvements </span></p><br><br></li><li><p><span>Typically resolves problems using existing solutions </span></p><br><br></li><li><p><span>Provides informal guidance to junior staff </span></p><br><br></li><li><p><span>Works with minimal guidance</span></p><br><br></li></ul><br><p><b><span>Work Arrangement: </span></b><span><span>Fully In Office: Monday-Friday&nbsp;</span></span></p><br><br><br><p><span><b><span>What’s In It For You:</span></b></span></p><br><br><p><span>At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That’s why we offer competitive financial compensation, including various compensation plans and a solid benefits package.&nbsp;</span></p><br><br><br><ul><li><p><span><span>Medical, Dental, Vision Insurance&nbsp;</span></span></p><br><br></li><li><p><span><span>401k, With Matching Contributions&nbsp;</span></span></p><br><br></li><li><p><span><span>Paid Time Off</span></span><span><span>(including</span><span>sick</span><span>, holiday, vacation, etc.)</span></span></p><br><br></li><li><p><span><span>Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options&nbsp;</span></span></p><br><br></li><li><p><span><span>Growth Opportunities&nbsp;</span></span></p><br><br></li><li><p><span><span>Tuition Reimbursement</span></span></p><br><br></li><li><p><span><span>Short-Term/Long-Term Disability Insurance&nbsp;</span></span></p><br><br></li><li><p><span><span>Climate controlled environment with excellent break room facilities&nbsp;</span></span></p><br><br></li><li><p><span><span>Located in central Reno, near public transportation (RTC Route 56)</span></span></p><br><br></li><li><p><span><span>And more!</span></span> ​</p><br><br></li></ul><br><p>Are you being referred to one of our roles? If so, ask your connection at Arrow about our Employee Referral Process!&nbsp;</p><br><br><br><br><b>Annual Hiring Range/Hourly Rate:</b><br>$87,900.00 - $115,115.00<br><p><span>Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer.</span></p><br><br><b>Location:</b>US-NV-Reno, Nevada (Maestro Dr)<br>Remote work employees may be required to be present at the closest designated Arrow office for work-related purposes, at the Company’s request and sole discretion.<br><b>Time Type:</b>Full time<br><b>Job Category:</b>Information Technology<br><b>EEO Statement:</b><p><span>Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status.&nbsp;</span>(Arrow EEO/AAP policy)</p><br><br><p><br><i>All Arrow job postings are for existing job vacancies</i>. <i>We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.</i></p><br><br><br><p><i><span>In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.</span></i></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Job Description<br><br><p><strong>Mission</strong></p><br><ul><li><strong>Key missions of the position: </strong></li><li>Responsible for driving &amp; executing process engineering KPIs for Panto, HVAC SFU (Small factory unit)</li><li>Responsible for Production Capacity Enhancement to meet the customer demand.</li><li>Establishment and prove out the process for New Products.</li><li>Collaborate with Production team on day-to-day basis to assess &amp; improve the existing processes.</li><li>Establishment of process for new products and process documents like process data sheet (PDS), operation data sheet (ODS), Assembly instructions sheet (AIS) etc.,</li><li>Facility creation for new projects and process improvements in existing Projects.</li><li>Collaborate with Production team on day-to-day basis to assess &amp; improve the existing processes.</li></ul><p><strong>Responsibilities</strong></p><br><ul><li>Continuous improvement /process establishment for the existing and new products in Panto &amp; HVAC line.</li><li>Productivity improvement /Cost savings in the respective SFU.</li><li>Derive Process for new Products and establish the same till Productionization and Handover.</li><li>Generation and maintenance of key documentation (PFD, PFMEA And WI) with the support&nbsp;of the CFT Team.</li><li>Establishment of new facility equipment’s and proving the process</li><li>Establishment of process for new products and make it’s corresponding documents like process data sheet (PDS), operation data sheet (ODS), Assembly instructions sheet (AIS) etc.,</li><li>Preparation of assembly cell layout and plant layout.</li><li>To respond the QRQC issues in SFU</li><li>Establish time standards for existing and new products.</li><li>Capacity Planning and drive Capacity Enhancement projects</li><li>Optimize process flow through layout.</li><li>Drive Ergonomics Improvement activities</li><li>Drive Performance measurement of the lines through OEE, Output / person</li><li>Monitor Oracle sanity and drive reduction of negative inventory due to MBOM error in SFU.</li><li>Coordinate for Customer, statutory audits and take necessary action on PED BBS points.</li><li>Capacity and capability analysis and inputs to Strap and SIOP</li><li>Budgetary Control for Capital Investment for project and existing products.</li><li>Preparing of Return on Investment (ROI) for each capital investments to make justification to Top&nbsp;&nbsp; management</li></ul><p>People Management: YES ¨&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; NO ¨</p><br><p>If People Management, how many employees are managed?</p><br><p>Number of people&nbsp;:</p><br><p>Budget Management:&nbsp; YES ¨ NO ¨</p><br><p><strong>Required Candidate Profile</strong></p><br><p><strong>Education/Training</strong></p><br><ul><li><em>What education and education level are necessary for the position?</em></li></ul><p>B.E – Mechanical Engg</p><br><p><strong>Professional</strong><strong> Experience</strong></p><br><ul><li>How many years of professional experience in a specific professional area are required for the position?</li></ul><p>Over all 5 to 6 years of experience in Production Engineering functions.</p><br><p><strong>Key Competences (Transversal/Professional)</strong></p><br><p><strong>Competence</strong></p><br><p><strong>Level</strong></p><br><p>Study &amp; Analysis High</p><br><p>Oral/ written communication High</p><br><p>Teamwork / Collaboration High</p><br><p>Leadership High</p><br><p><strong>Languages</strong></p><br><p>English, Tamil, Hindi (Preferable)</p><br><p><strong>Other Specifications</strong></p><br><p>Self-driven, Self-motivated, Dynamic, Interest to learn and explore new things, Analytical thinking.</p><br><br>Additional Information<br><br><p><strong>What could you accomplish in a place that puts People First?</strong></p><br><p>At Wabtec, it’s not just about a job - it’s about the impact you make. When our people come together, we’re Expanding the Possible by continuously improving what we do and how we do it - for our clients and each other.</p><br><p>If you’re ready to revolutionize how the world moves for future generations, Wabtec is the place for you.<br>&nbsp;</p><br><p><strong>Who are we?</strong></p><br><p>Wabtec is a leading global provider of equipment, systems, digital solutions, and value-added services for the freight and transit rail sectors. Drawing on more than 150 years of experience, we are leading the way in safety, efficiency, reliability, innovation, and productivity. Whether it’s freight, transit, ports, logistics, mining, industrial, or marine, our expertise, technologies, and people together – are accelerating the future of transportation. With roots that date back to George Westinghouse, Thomas Edison, and Louis Faiveley, Wabtec has always built technologies and implemented solutions for a variety of sectors that are critical to meeting the needs of customers and governments alike.</p><br><p>Our global team of about 30,000 employees worldwide delivers performance that moves the world forward. We’re lifelong learners, obsessed with better. Learn more at www.WabtecCorp.com.</p><br><p><strong>Culture powers us and the possibilities.</strong></p><br><p>We believe the best ideas come from a mix of experiences and backgrounds. At Wabtec, we strive every day to create a place where everyone belongs. We’re building a culture where leadership, inclusion and your unique perspective fuel progress.</p><br><p><br>We’re proud to be an Equal Opportunity Employer. We welcome talent of all backgrounds, experiences, and identities, including race, gender, age, disability, veteran status and more.</p><br><p>Need accommodation? Just let us know - we’ve got you.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>As a Senior Microsoft Fabric – Power BI Data Engineer, you will play a key role in building and evolving reusable, product‑oriented data and analytics solutions on Microsoft Fabric. You will work hands‑on from data ingestion and Python‑based transformations to analytics‑ready data models and Power BI semantic layers. You will design well‑structured, high‑quality Fabric reports and analytics, with strong attention to usability, clarity, and performance.</p><br><br><p>You will ensure solutions are scalable, maintainable, and standardized, avoiding one‑off custom implementations. You will apply strong engineering practices, using Git and GitHub to manage, review, and promote changes within Fabric, while collaborating closely with business and technical stakeholders to deliver trusted data products.</p><br><br><p><b>Key Responsibilities:</b></p><br><br><ul><li>Reporting &amp; Data Products (Power BI/Fabric)<ul><li>Build end to end Power BI solutions:<ul><li>Semantic models</li><li>DAX measures</li><li>Dashboards and reports</li></ul></li><li>Focus on product thinking:<ul><li>Generic datasets reusable by multiple consumers</li><li>Clear contract between data model and reports</li></ul></li><li>Ensure reports are:<ul><li>Performant</li><li>Maintainable</li><li>Aligned with business KPIs</li><li>Aligned to the designed UI/UX</li></ul></li></ul></li><li>Data Modeling (Analytics Ready)<ul><li>Design scalable analytical models meant to be reused across reports:<ul><li>Star schemas (facts &amp; dimensions)</li><li>Conformed dimensions and standardized KPIs</li></ul></li><li>Optimize models for:<ul><li>Performance</li><li>Governance</li><li>Long term evolution</li></ul></li></ul></li><li>Data Engineering &amp; Transformation (Microsoft Fabric)<ul><li>Design and implement reusable data pipelines using:<ul><li>Microsoft Fabric Lakehouse</li><li>Dataflows Gen2</li><li>Notebooks (Python / PySpark)</li></ul></li><li>Build production ready transformations in Python:<ul><li>Data cleansing, enrichment, aggregations</li><li>Incremental loads, idempotent logic</li><li>Basic data quality and validation checks</li></ul></li><li>Apply Medallion architecture principles (Bronze / Silver / Gold)</li></ul></li><li>Engineering Practices &amp; Product Mindset (Key Requirement)<ul><li>Work with a product oriented approach:<ul><li>Standardized data models and pipelines</li><li>Avoid one off custom logic per consumer</li><li>Favor configuration over customization</li></ul></li><li>Apply software engineering best practices to data:<ul><li>Modular code</li><li>Naming conventions</li><li>Documentation</li></ul></li><li>Contribute to shared patterns and internal data products</li></ul></li><li>Git, GitHub &amp; CI/CD Integration<ul><li>Use Git and GitHub as the default way of working:<ul><li>Version control for notebooks, semantic models and pipelines</li><li>Proper branching and pull requests</li></ul></li><li>Work with GitHub integrated Microsoft Fabric:<ul><li>Code changes tracked and reviewed</li><li>Collaboration through PRs</li></ul></li><li>Basic understanding of:<ul><li>CI/CD concepts for data &amp; Power BI</li><li>Promotion of changes across environments (dev / test / prod)</li></ul></li></ul></li></ul><p><b>Must‑Have</b></p><br><br><ul><li><b>5+ years</b>' experience in data, BI or analytics roles</li><li>Strong hands‑on experience with:<ul><li><b>Microsoft Fabric</b></li><li><b>Power BI</b> (semantic model, DAX, reporting)</li><li><b>Python</b> for data transformation (Pandas, basic PySpark)</li><li><b>SQL</b></li></ul></li><li>Solid understanding of:<ul><li>Data modelling for analytics</li><li>Data warehouse / Lakehouse concepts</li></ul></li><li>Experience using <b>Git</b> in a professional environment</li><li>Engineering mindset applied to data (not only reporting)</li></ul><br><p><b>Nice to Have (</b>Not Mandatory)</p><br><br><p>• Experience with Azure cloud services </p><br><br><p>• Exposure to: </p><br><br><p>o CI/CD pipelines (GitHub Actions, Azure DevOps)</p><br><br><p>Microsoft Fabric expertise is a plus, but we value strong fundamentals and engineering discipline above buzzwords.</p><br><br><p><span><b>Collaborate with</b>:</span></p><br><br><ul><li><span>Architects</span></li><li><span>Product owners</span></li><li><span>Lead Engineers</span></li><li><span>Business stakeholders</span></li></ul><p><span>&nbsp;Challenge requirements that lead to:</span></p><br><br><ul><li><span>Over‑customization</span></li><li><span>Unmaintainable solutions</span></li></ul><p>&nbsp;Promote <b>long‑term platform quality</b> over short‑term quick fixes<br></p><br><br><p><span><i>About FNZ</i></span></p><br><br><p><span><i>FNZ is committed to opening up wealth so that everyone, everywhere can invest in their future on their terms. We know the foundation to do that already exists in the wealth management industry, but complexity holds firms back.&nbsp;</i></span></p><br><br><p><span><i>We created wealth’s growth platform to help. We provide a global, end-to-end wealth management platform that integrates modern technology with business and investment operations. All in a regulated financial institution.&nbsp;</i></span></p><br><br><p><span><i><span>We partner with the world’s leading financial institutions, with over US$2.5 trillion in assets on platform (AoP).<br>Together with our clients, we empower nearly 30 million people across all wealth segments to invest in their future.</span></i></span></p><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Defines the concept for data quality control and supports the improvement of HR data - Monitors data quality of process execution and process KPIs; consolidates and monitors HR KPIs, e.g. fluctuation, sickness, recruiting time - Defines harmonized HR KPIs and reports - Defines and implements HR Controlling - KPIs &amp; reporting- processes and guidelines and monitors their adherence - Creates the company s headcount report - Manages external reporting to institutions, etc. - Manages, creates, analyzes, tracks, defines measures for internal reporting e. g. HR Board Report, Headcount Tracking - Monitors positions and headcounts against budget planning and target settings - Identifies global trends in digitalization and benchmarks in order to improve workforce planning and reporting - Manages the personnel planning tool - Provides trainings for HR Controlling subjects, e.g. KPIs, analyses - Provides HR analytics and controlling consultancy &amp; expertise to contribute to the development of the knowledge base and implement innovative best practices</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>University Degree</li><li>First experience in reporting, data analysis, or HR is considered an advantage</li><li>Good knowledge of Microsoft Excel, PowerPoint, and SAP; knowledge of SuccessFactors is a plus</li><li>Structured, detail-oriented, and well-organized working style</li><li>Strong analytical mindset with an affinity for working with data</li><li>Very good English skills, both written and spoken</li><li>Reliable team player with strong organizational and coordination skills</li><li>Ability to work in an operational HR Analytics environment</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div> Company Description <p>LEONI is a global leading provider of products, solutions and services for energy and data management in the automotive industry. With around 86,000 employees in 21 countries and consolidated sales of EUR 3.9 billion in 2025 (excluding the former Automotive Cable Solutions division), we are a leading supplier of complex wiring systems and customer specific cable harnesses.</p> <p>Since 2025, we have been part of the Luxshare Group, a global technology company headquartered in China. Together, we are shaping the future of mobility. Join us and help drive the transformation of the automotive world</p> </div> <div> Job Description <p> </p> <p>- Defines the concept for data quality control and supports the improvement of HR data<br> </p> <p>- Monitors data quality of process execution and process KPIs; consolidates and monitors HR KPIs, e.g. fluctuation, sickness, recruiting time<br> </p> <p>- Defines harmonized HR KPIs and reports<br> </p> <p>- Defines and implements HR Controlling - KPIs &amp; reporting- processes and guidelines and monitors their adherence<br> </p> <p>- Creates the company s headcount report<br> </p> <p>- Manages external reporting to institutions, etc.<br> </p> <p>- Manages, creates, analyzes, tracks, defines measures for internal reporting e. g. HR Board Report, Headcount Tracking<br> </p> <p>- Monitors positions and headcounts against budget planning and target settings<br> </p> <p>- Identifies global trends in digitalization and benchmarks in order to improve workforce planning and reporting<br> </p> <p>- Manages the personnel planning tool<br> </p> <p>- Provides trainings for HR Controlling subjects, e.g. KPIs, analyses<br> </p> <p>- Provides HR analytics and controlling consultancy &amp; expertise to contribute to the development of the knowledge base and implement innovative best practices</p> </div> <div> Qualifications and Experience <ul> <li>University Degree </li> <li>First experience in reporting, data analysis, or HR is considered an advantage</li> <li>Good knowledge of Microsoft Excel, PowerPoint, and SAP; knowledge of SuccessFactors is a plus</li> <li>Structured, detail-oriented, and well-organized working style</li> <li>Strong analytical mindset with an affinity for working with data</li> <li>Very good English skills, both written and spoken</li> <li>Reliable team player with strong organizational and coordination skills</li> <li>Ability to work in an operational HR Analytics environment </li> </ul> </div> <div> Interested? <div><br></div></div></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span >Job Description - Manages and supervises the Material Flow Planning org unit according to defined objectives and KPIs - Identifies potential for improvement in area of responsibility, offers consulting and contributes to improvement of service delivery - Takes responsibility for standard &amp; governance adherence and process execution - Leads the direct reports in the area of responsibility - Plans the regular team activity in order to cover all the activity stages and reply to all the requests received - Defines the team members objectives, tasks and responsibilities. Provides clear instructions, monitoring and evaluation of the results - Identifies the training and development needs of direct reports, follows the subordinates' professional development and provides assistance for using newly acquired knowledge - Proposes and applies measures for improving team performance, organizational flexibility, diversity, succession planning, coaching, change management and personal growth</span></p><p>Functional accountability for Material Flow Planning on country level - Defines and implements material flow in the Raw Material / Semi-Finished Goods / Finished goods warehouses acording to the released VCM standards - Validates the needed calculations for Material Flows for the warehouses (quantities, layout, space, resources)</p><p>Qualifications and Experience</p><p>Education : University Degree</p><p>Experience : Min 3 years in VCM</p><p>Languages : Frensh and English</p><p>Functional / Professional : ABC Analysis - Kanban / Pull Scheduling - Materials Replenishment - Supply Chain Concepts - Supply Chain Optimization - Value Chain Analysis - Warehouse Management Systems Method : Lean Manufacturing - Continuous Improvement Techniques - Gap Analysis - Future State Map - Performance Measurement - Process Management - Standards and Procedures - Value Stream Mapping - Auditing</p><p>IT : MS Office - ERP Planning Systems</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>University Degree</li><li>Min 3 years in VCM</li><li>Languages : Frensh and English</li><li>Functional / Professional : ABC Analysis - Kanban / Pull Scheduling - Materials Replenishment - Supply Chain Concepts - Supply Chain Optimization - Value Chain Analysis - Warehouse Management Systems Method : Lean Manufacturing - Continuous Improvement Techniques - Gap Analysis - Future State Map - Performance Measurement - Process Management - Standards and Procedures - Value Stream Mapping - Auditing</li><li>IT : MS Office - ERP Planning Systems</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><b>Join Yazaki. Connect to the future.&nbsp;</b></p><br> <p><b>Country</b>:&nbsp;Tunisia (TN)&nbsp;<br> <b>City</b>:&nbsp;Bizerte<br> <b>Worksite / Location</b>:&nbsp;Bizerte&nbsp;</p><br> <p><b>Job Function</b>:&nbsp;EDS_Logistics&nbsp;<br> <b>Job Discipline</b>:&nbsp;&nbsp;<br> <b>Job Family</b>:&nbsp;Operational Logistics (PL)</p><br> <p>Founded in 1929, Yazaki is a Japanese full systems supplier of wire harness, electrical, data products and solutions enabling vehicle electrification, connectivity, and autonomy integration. More than 235,000 committed and highly motivated employees in 45 countries make us one of the most successful international automotive suppliers. Join a family-owned company committed to being environmentally friendly in every aspect of its business, contributing to society, and inspiring trust. To strengthen our team, we are looking for a&nbsp;Material Planning Specialist L2 in our plant in [[location]].&nbsp;</p><br> <p>Material Planning Specialist L2</p><br><p>At Yazaki, we are&nbsp;committed to providing equal employment opportunities for everyone which extends to all aspects of the employment relationship.&nbsp;</p><br> <p>We are looking forward to receiving&nbsp;your application and to get to know you. Please apply by clicking the 'Apply Now' button. We wish you all the success in your application!&nbsp;</p><br> <p>Ps. Didn't find&nbsp;what you are looking for?<br> Take a look at our&nbsp;careers page! Be careful though, you might find your next dream job.</p><br> </div>