Engineering Jobs in Tunisia

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About ITRS At ITRS, we make society's critical technology work.<br> Our mission is to deliver automated and holistic IT observability solutions that safeguard critical applications and enable innovation.<br> We are the only monitoring and observability platform designed for the most demanding and regulated industries — trusted by 90% of Tier 1 capital markets firms.<br> We believe when our team thrives, so do our customers.<br> With us, you'll find: A culture that backs you – We're proud to be a Great Place to Work for multiple years in a row due to our inclusive, supportive environment.<br> Work that matters – Make a real difference with 1,000s of global customers in industries that keep the world running, including 9 out of 10 top investment banks.<br> Room to grow – Whether you're starting your career or bringing years of experience, we're committed to your development.<br> Just ask our team members who've been excelling here for 10+ years.<br> With headquarters in London and teams across the US, Europe, and Asia, ITRS combines the agility of a high-impact tech business with the stability of a private equity–backed global partner.<br> Scope of Role ITRS has a DevOps team that creates and supports its Continuous integration, build and similar systems.<br> We are now building its next generation observability platform with the capability to collect, store and analyse the vast amount of data generated by banks and financial institutions.<br> Crucial to the adoption of our product is a streamlined client deployment and management process.<br> With around 200 clients we are faced with different levels of complexity, automation, and sophistication in the deployment process – complexity which we need to take into account when developing, testing and marketing the product.<br> ITRS is looking to strengthening its DevOps team with an Engineer with experience in Kubernetes-based systems as well as a background in more standard software development DevOps.<br> As a Senior DevOps Engineer, you will: Report to our Engineering Manager and work with the Engineering team in developing a flexible DevOps infrastructure to help develop a data collection, storage and analytics platform and a user-centric application that enables the use and visualisation of data.<br> Work with Product, Engineering, TechComms, and Support to define, document, and promote best practices around deployment and management of the system.<br> Help clients and early adopters to deploy the stack.<br> Improve the manageability and supportability of the stack – this includes working with Product to define new features required to make the product easier to manage.<br> Actively participate in proposing, planning and implementing DevOps solutions.<br> Be an active part of the DevOps team that is supporting an Engineering team developing both the existing ITRS product and the new analytics-based platform, sharing best practices, providing support, sharing knowledge and generally collaborating to solve the most pressing issues at hand.<br> Group health insurance (or simply Group insurance, depending on context) Meal vouchers Performance bonus Referral Bonus Buy and Sell Holiday Training Reimbursement ITRS is an Equal Opportunity employer and Inclusion is part of our everyday life.<br> We celebrate diversity and pride ourselves on providing an environment where all employees can be their authentic selves and have a voice, allowing everyone to contribute equally.<br> We remain committed to advocating inclusion, diversity, and equality into our ITRS family as we grow and enrich our business.<br> We welcome applications from everyone in the community as we recognise that a diverse workforce is a stronger workforce.<br> 4+ years experience in cloud technologies (AWS, GCP, Azure, etc.<br>) Experience with Kubernetes or other similar orchestration technologies.<br> Experience with Linux system administration.<br> Experience with container technologies such as Docker.<br> Understanding of networking and TCP/IP.<br> Experience with configuration tools such as Ansible, Puppet, Chef.<br> Experience with VCS such as Git.<br> Experience with continuous integration tools such as Jenkins.<br> Infrastructure as Code (Terraform, etc.<br>) Configuration tools such Ansible, Puppet, Chef Knowledge of systems/networking security best practices</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>

<p><font dir="auto" ><font dir="auto" >Design, validate, and develop manufacturing and inspection documentation (routings, instruction sheets, bills of materials, allocations). Manage process modifications and ensure technical and documentary compliance. Analyze performance gaps and propose corrective and preventive action plans. Participate in risk analyses (FMEA, MFT, etc.) and the implementation of new processes. Contribute to the qualification and requalification of special processes. Ensure the industrialization/production handover and maintain operational readiness. Lead or co-lead Lean projects (VSM, 5S, SMED, line setup, visual management, etc.). Identify and prioritize areas for improvement on production lines. Contribute to a culture of continuous improvement and support technicians in implementing actions. Monitor performance indicators (OEE, scrap, non-quality, cycle time). Define production resource requirements (machines, jigs, tooling, etc.) and validate their technical conformity. Manage their commissioning, validation, and obsolescence. Coordinate technical training for operators and technicians on their use. Participate in the design or adaptation of workstations (ergonomics, safety, workflow).</font></font></p><p><strong>Desired Candidate Profile</strong></p><ul><li><font dir="auto" ><font dir="auto" >Analytical, synthesis and structuring skills</font></font></li><li><font dir="auto" ><font dir="auto" >Interpersonal communication</font></font></li><li><font dir="auto" ><font dir="auto" >Cross-functional project management (steering)</font></font></li><li><font dir="auto" ><font dir="auto" >Results orientation</font></font></li><li><font dir="auto" ><font dir="auto" >Group animation</font></font></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Our company manages one of the largest Elasticsearch clusters in France, powering a high-performance search engine applied to one of the most exhaustive global patent databases on the market. Within the "Data as a Service" (DaaS) team, we are the software and architectural core of this platform. We design data structures (mappings), develop massive ingestion pipelines, write custom plugins for Elasticsearch, and manage the query and caching backend. The DaaS team is responsible for application performance, index optimization, and result relevance. As part of our business development in Tunisia, we are looking for an Expert Elasticsearch and Backend Java Engineer to become a technical expert in our local team and collaborate closely with the teams in France.</p><p>Your Missions:</p><p>Reporting to the DaaS team, your responsibilities will cover the entire data lifecycle and Elasticsearch performance, from development to production investigation:</p><p>1. Elasticsearch Design &amp; Performance:</p><p>Design, optimize, and evolve data modeling (mappings, tokenizers, analyzers, data types) to ensure fast searches on millions of large documents.</p><p>Develop specific extensions and plugins in Java directly integrated with Elasticsearch to meet complex business needs for patent processing.</p><p>Actively participate in the preparation, testing, and validation of major and minor versions of the ES cluster.</p><p>2. Backend Development &amp; Pipelines (Java):</p><p>Develop and maintain the Elasticsearch query management backend and high-performance caching systems.</p><p>Design and optimize data loading programs (massive / batch data ingestion) and real-time index update flows.</p><p>3. Monitoring, Optimization &amp; Production Support:</p><p>Analyze cluster performance (Search &amp; Indexing throughput, latencies, JVM usage, Garbage Collection, Heap) for proactive optimization.</p><p>Be the technical point of contact for production incident investigations (in collaboration with the Systems team): slow queries, unstable nodes, etc.</p><p>Ensure capacity planning from an application perspective (sizing of shards, segments, nodes).</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><b>Technical Skills (Hard Skills):</b></li><li><b>Elasticsearch Expertise:</b> You have a mastery of Elasticsearch's internal architecture (Lucene, sharding, segments, index lifecycle, advanced aggregations). You know how to profile and optimize complex queries (Query DSL). You are familiar with indexing and searching text-based documents.</li><li><b>Java Development:</b> Perfect mastery of Java (Core, Concurrency, Performance) for backend development, pipelines, and ideally ES plugins.</li><li><b>Performance &amp; Internals:</b> Excellent knowledge of the JVM (tuning, GC log analysis, thread dumps, heap dumps).</li><li><b>Python Development:</b> Knowledge of Python and data manipulation libraries (pandas).</li><li><b>Data &amp; CI/CD Ecosystem:</b> Good knowledge of build and containerization tools (Maven, Git, Docker).</li><li><b>Human and Relational Qualities (Soft Skills):</b></li><li><b>Autonomy and Rigor:</b> Ability to propose optimizations and carry subjects end-to-end in a context.</li><li><b>Analytical and Investigative Mindset:</b> You enjoy digging into logs and metrics to solve complex performance issues (troubleshooting problems).</li><li><b>Communication:</b> Excellent level of French (written and oral) for daily interaction with the team based in France.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<p><strong>LEONI is a global provider of products, solutions, and services for energy and data management in the automotive industry. With around 87,000 employees in 21 countries and EUR 5 billion in sales in 2024, we are a leading supplier of complex wiring systems and customer‑specific cable harnesses.</strong></p><br><p><strong>We believe that meaningful connections drive innovation and success. At LEONI, you will join a diverse, international, and collaborative team shaping the future of mobility, from autonomous driving to alternative drives and smart charging solutions.</strong></p><br><p><strong>Since mid‑2025, we have been part of the Luxshare Group, one of the world’s leading solution providers for consumer electronics, communications and data centers, automotive, and medical industries, based in China. Join us and help shape the future of connectivity together.</strong></p><br><br><br>Job Description<p>- Creates and reviews test technology local work instructions<br></p><br><p>- Supports: - test equipment and test tools development (design, test modules, specific processes, etc.) - technical error analyses for customer claims and complaints - the identification of root causes in case of process disturbances and searching for solutions<br></p><br><p>- Creates and develops the test sequences and programs according to requirements - for building of test tables, test boards and vision tests, internally or externally - for installation and validation of test equipment - in order to change the test programs, test tables, test boards and vision systems during product changes and new introduction (Change Management &amp; Project Management)<br></p><br><p>- Ensures test programs and tests parameters used during initial setup<br></p><br><p>- Provides feedback to Production Technology related to test modules functionality and design<br></p><br><p>- Ensures backup of test programs and test parameters<br></p><br><p>- Implements lessons learned, best practice and actively shares the information within the Production Management network</p><br><br><br>Qualifications and Experience<ul><li><strong><em>Level of Education :</em></strong>&nbsp;University Degree</li><li><strong>Branch of study :&nbsp;</strong>Electrical - Mechanical - Mechatronics or similar</li><li><strong>Experience :</strong>&nbsp;2 years in the automotive industry are appreciated&nbsp;</li><li><em><strong>IT:</strong></em>&nbsp;Microsoft Office</li><li><strong><em>Social competences:</em></strong>&nbsp;Communication /Social &amp; intercultural sensitivity / Change management /Target &amp; result-orientation/ Motivation &amp; resilience /Self-organization /Conflict management / Teamwork</li><li><em><strong>Professional competences:</strong></em>&nbsp;Equipment Maintenance /Preventative and Predictive Maintenance /Equipment Repair /Machine Operations /Machine Tools/Maintenance of electrical control panels and/or preparation</li></ul><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 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>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"> <p>Nous recherchons un Ingénieur Géomatique maîtrisant ArcGIS et QGIS pour renforcer notre équipe SIG et accompagner nos projets de cartographie et d’analyse spatiale. Missions principales : Collecter, intégrer et mettre à jour les données géographiques (terrain, open data, données clients…). Produire des cartes,...</p> </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"> <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>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<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"> <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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>In this role as Engineering Project Leader, impactful projects are led from planning to industrialization, contributing to efficient, compliant, and high-quality manufacturing processes. Working across teams and sites, this position plays a key role in driving continuous improvement, technology transfer, and operational excellence in a dynamic environment.</p><p><b>Grow with us – Your Responsibilities</b></p><br><ul><li>Lead engineering projects from initiation through implementation and closure, ensuring delivery on time, budget, and quality</li><li>Coordinate technology transfer activities across sites, suppliers, and manufacturing facilities to ensure smooth industrialization</li><li>Drive process development and optimization initiatives to improve efficiency, quality, and productivity</li><li>Plan and execute equipment and process qualification activities (IQ, OQ, PQ), including validation of manufacturing equipment, utilities, and processes</li><li>Develop project plans including timelines, budgets, and resource allocation, while tracking performance through KPIs and reporting progress to management</li><li>Perform risk assessments using methodologies such as FMEA and implement mitigation actions to reduce operational risks</li><li>Collaborate with cross-functional teams (Production, Quality, Maintenance, Supply Chain, R&amp;D) and lead continuous improvement and problem-solving activities, including root cause analysis</li><li>Ensure compliance with applicable quality standards, regulatory requirements, and internal processes including CAPA, change control, and deviation management</li></ul><p>​<b>What will convince us</b></p><br><ul><li>Degree in engineering or a related field (not specified in initial input – to be confirmed if required)</li><li>Strong expertise in process and equipment qualification and validation (IQ, OQ, PQ), including commissioning and startup</li><li>Experience in technology transfer and industrialization projects within manufacturing environments</li><li>Solid understanding of manufacturing processes, process optimization, and quality systems (GMP and validation requirements if applicable)</li><li>Knowledge of Lean Manufacturing principles and continuous improvement tools</li><li>Proficiency in project management, including planning, scheduling, and stakeholder coordination</li><li>Experience with risk management methodologies such as FMEA and structured risk assessments</li><li>Strong analytical and problem-solving skills with the ability to manage complex technical challenges</li><li>Excellent communication, leadership, and stakeholder management skills in cross-functional and multi-site environments</li><li>Ability to influence, drive change, and manage multiple priorities in a dynamic and complex setting</li><li>Strong organizational skills, resilience under pressure, and a results-oriented mindset</li><li>High level of collaboration, interpersonal effectiveness, and negotiation and conflict resolution skills</li><li>Professional proficiency in English, both written and spoken</li></ul><p><b>About Sartorius&nbsp;</b></p><br><p>Sartorius is part of the solution in the fight against cancer, dementia, and many other diseases. Our technologies help translate scientific discoveries into real-world medicine faster, so that new therapeutics can reach patients worldwide.&nbsp;</p><br><p>We look for ambitious team players and creative minds, who want to contribute to this goal and advance their careers in a dynamic global environment.</p><br><p>Join our global team and become part of the solution. We are looking forward to receiving your application.&nbsp;<br>www.sartorius.com/careers</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are looking for an Senior Expert OT Security Engineering (x|f|m) to join our IT Foundation Services team. <br>As part of a global organization, you will help protect and strengthen our OT landscape and contribute to the security of production environments that support our mission of Simplifying Progress. In this role, you will work closely with IT, engineering and production teams to advance our OT security capabilities and support resilient operations worldwide. <br>This position is available for full-time. It is a hybrid role requiring some days on site at our site in Madrid (Spain) or Tunis (Tunisia) with the opportunity to work some days remotely.</p><p><b>Grow </b><b>W</b><b>ith </b><b>Us</b><b> – </b><b>Your</b><b>Responsibilities</b></p><br><ul><li><p><span>Develop, implement and continuously improve OT security concepts, architectures and standards across global environments </span></p><br></li><li><p><span>Take ownership of the OT vulnerability management lifecycle, including identification, assessment, prioritization and remediation tracking of vulnerabilities in OT environments </span></p><br></li><li><p><span>Perform vulnerability assessments and risk analyses for industrial systems (</span><span>e.g.</span><span> ICS, SCADA, IoT) and define mitigation strategies aligned with operational constraints </span></p><br></li><li><p><span>Establish and enhance processes for continuous vulnerability monitoring and remediation in close collaboration with production and engineering teams</span></p><br></li><li><p><span>Support the integration of OT systems into existing IT security frameworks and monitoring capabilities Collaborate with SOC teams to ensure effective monitoring, detection and response for OT-related security incidents </span></p><br></li><li><p><span>Act as a central interface between IT security, OT engineering and production teams to align security requirements and operational needs </span></p><br></li><li><p><span>Support incident response activities, including investigation, containment and remediation of OT-related threats </span></p><br></li><li><p><span>Ensure compliance with relevant cybersecurity standards and frameworks (</span><span>e.g.</span><span> IEC 62443, NIS2, ISO 27001) </span></p><br></li><li><p><span>Coordinate with external vendors and technology partners and contribute to the evaluation and implementation of OT security solutions </span></p><br></li><li><p><span>Document security architectures, processes and implemented controls to ensure transparency and audit readiness</span></p><br></li></ul><p><b>What</b><b> Will </b><b>Convince</b><b>Us</b></p><br><ul><li><p><span>You have successfully completed a degree in information technology, cybersecurity, engineering or a comparable field </span></p><br></li><li><p><span>This is complemented by several years of professional experience in IT security, ideally with a focus on OT / industrial environments </span></p><br></li><li><p><span>Strong knowledge of network technologies and protocols across IT and OT environments </span></p><br></li><li><p><span>Experience with industrial systems such as ICS and SCADA as well as OT-specific security challenges </span></p><br></li><li><p><span>Hands-on experience with security technologies such as SIEM, IDS/IPS, endpoint protection and network segmentation solutions </span></p><br></li><li><p><span>Familiarity with OT security platforms (</span><span>e.g.</span><span>Claroty</span><span>, Nozomi, Microsoft Defender for IoT) is a strong advantage</span></p><br></li><li><p><span>Understanding of security frameworks and regulatory requirements (</span><span>e.g.</span><span> IEC 62443, NIS2, ISO standards) </span></p><br></li><li><p><span>Experience in incident response and vulnerability management is a plus </span></p><br></li><li><p><span>Strong communication skills and the ability to make technical concepts understandable to non-technical stakeholders characterize you </span></p><br></li><li><p><span>Independent work </span><span>styl</span><span>, manage tasks effectively and alignment ofactivities with overall security strategies </span></p><br></li><li><p><span>A hands-on mentality combined with a proactive and solution-oriented mindset </span></p><br></li><li><p><span>Fluency in English completes your profile</span></p><br></li></ul><p><b>What</b><b>We</b><b> Offer</b></p><br><p><span>As a </span><span>growing</span><span> global </span><span>life</span><span>science</span><span>company</span><span>, stock </span><span>listed</span><span> on </span><span>the</span><span> MDAX and TecDAX, Sartorius </span><span>offers</span><span> a </span><span>wide</span><span>range</span><span> of&nbsp;Benefits:</span></p><br><ul><li><p><b>Personal and Professional Development: </b><span>Mentoring, leadership programs, Talent Talks, internal seminar offerings , coaching for managers</span></p><br></li><li><p><b>Attractive Compensation: </b><span>Vacation and holiday bonuses including pension benefits with a </span><span>40 hr.</span><span> week and 25 vacation days</span></p><br></li><li><p><b>Making An Impact Right From The Start: </b><span>Comprehensive onboarding, including a virtual online platform even before joining, Welcome Workshops, "buddy" as point of contact</span></p><br></li><li><p><b>Welcoming Culture: </b><span>Mutual support, </span><span>teamspirit</span><span> and international collaboration; communities on numerous topics, such as coaching, agile working and </span><span>business women</span><span> network</span></p><br></li><li><p><span>This position is filled within the </span><b>Sartorius Spain S.A.</b></p><br></li></ul><p><i>We</i><i> promote </i><i>diversity</i><i> and </i><i>inclusion</i><i> and </i><i>welcome</i><i>applications</i><i>from</i><i>people</i><i>of</i><i> all </i><i>nationalities</i><i>, </i><i>genders</i><i>, sexual </i><i>orientations</i><i>, </i><i>religions</i><i>, </i><i>age</i><i>groups</i><i>, </i><i>disabilities</i><i>, and </i><i>cultural</i><i>backgrounds.</i></p><br><p><b>About Sartorius&nbsp;</b></p><br><p>Sartorius is part of the solution in the fight against cancer, dementia, and many other diseases. Our technologies help translate scientific discoveries into real-world medicine faster, so that new therapeutics can reach patients worldwide.&nbsp;</p><br><p>We look for ambitious team players and creative minds, who want to contribute to this goal and advance their careers in a dynamic global environment.</p><br><p>Join our global team and become part of the solution. We are looking forward to receiving your application.&nbsp;<br>www.sartorius.com/careers</p><br> </div>

<p>Company Description LEONI is a global leading provider of products, solutions and services for energy and data management in the automotive industry. With around 95,000 employees in 23 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. 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 . Job Description - Manages and supervises the Industrial Engineering 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 Functional accountability for Industrial Engineering on plant level - Manages the coordination and evaluation of time analysis for production processes in order to identify time bottlenecks and improve efficiency - Manages the coordination and evaluation of line balancing analysis ensuring optimization of production processes Qualifications and Experience Level of Education: University degree Branch Of Study: Technical (Mechanical, Electrical, etc.) / Industrial Engineering / Quality / Supply Chain / Management etc Experience: 5 years of experience in the automotive industry Language: French, English Social competences: Communication /Social &amp; intercultural sensitivity / Change management /Target &amp; resultorientation/ Motivation &amp; resilience /Self-organization /Conflict management / Teamwork Professional competences: Inventory Management / Inventory Positioning/ Kanban / Pull Scheduling/ Labeling / Materials Handling / Packaging / Warehouse Management Systems / Materials Replenishment / Shipping Documents / Vendor-Managed Inventory Additional Information Interested? Apply now All jobs People of all genders are always meant equally; for linguistic simplification and better readability, only the masculine form is used in the text. LEONI processes your application data in an IT-system that is consistent across the company and uses Foreign Service providers. By sending your application, you agree to this procedure. LEONI ensures the compliance with data protection.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>University degree in Technical (Mechanical, Electrical, etc.) / Industrial Engineering / Quality / Supply Chain / Management etc.</li><li>5 years of experience in the automotive industry.</li><li>Language: French, English</li><li>Social competences: Communication / Social &amp; intercultural sensitivity / Change management / Target &amp; result orientation / Motivation &amp; resilience / Self-organization / Conflict management / Teamwork</li><li>Professional competences: Inventory Management / Inventory Positioning/ Kanban / Pull Scheduling/ Labeling / Materials Handling / Packaging / Warehouse Management Systems / Materials Replenishment / Shipping Documents / Vendor-Managed Inventory</li></ul>