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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Primary responsibilities</b></p><ul><li>You assist with various data related projects, including but not limited to: data clean-up, data auditing, and more</li><li>You monitor data flows of customers and prospects and identify, analyze and resolve issues</li><li>You are continuously working on further improving our data collection monitoring, data quality, and integrity</li><li>You perform audits of data quality</li><li>You know our data, database and data structure</li><li>You demonstrate detailed understanding of downstream data workflows and interdependencies</li><li>You work closely with our Marketing managers and Customer care, to understand customer behaviour or data issues</li><li>You help the privacy team to maintain GDPR compliance</li><li>You follow identified issues with technical teams</li><li>You collaborate on process improvement for their areas of responsibility to automate tasks and ensure greater accuracy</li><li>You document and maintain Data Operations Specialist procedures and guidelines</li></ul><p><b>Growth &amp; Career Opportunities</b></p><p>At Pens.com, we strongly believe in internal development and mobility. Manyof our team members grow within the organization through internal opportunities and promotions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Proficiency in programming languages like SQL server, Snowflake (Python is a plus)</li><li>Excellent analytical and problem-solving skills</li><li>Fluent level in English is required</li><li>Attention to detail and a strong commitment to data accuracy and quality</li><li>Cross functional support (ad hoc) with Marketing and Telesales agents</li><li>Strong understanding of database and business needs</li><li>Ability to work independently and collaboratively in a fast-paced environment, managing multiple projects and priorities</li><li>Good proficiency in writing &amp; speaking the English language</li><li>Motivated and energetic at completing tasks and learning new tasks</li><li>Ability to meet deadlines.</li><li>Knowledge of the reporting systems Looker is a plus</li><li>Direct mail or Marketing experience is a plus</li><li>Familiarity with cloud computing platforms like AWS (optional)</li></ul><p></p></section>

<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"> <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><strong>Job Title:&nbsp;Data Operations Specialist</strong></span> <br> <span><strong>Location</strong>: <strong>Tunis, Tunisia</strong></span> <br> <span><strong>Report to:&nbsp;Data Operations Manager</strong></span> <br> <span><strong>Overview:</strong></span><br><span>The Data Operations Specialist&nbsp;will be part of the Marketing Analytics &amp; Insights Team. Our mission is to use Data &amp; Advanced Analytics to support the Marketing teams globally. As part of the team, reporting to the Data Operations Manager, you will collaborate with experienced Data Analysts &amp; Data Scientists. Your role is to establish a robust data foundation that supports the organization's analytical needs and enables data-driven decision-making across all functions.</span> <br> <p><span><strong><u>Primary responsibilities</u></strong></span></p><br> <ul> <li><span>You assist with various data related projects, including but not limited to: data clean-up, data auditing, and more</span></li> <li><span>You monitor data flows of customers and prospects and identify, analyze and resolve issues</span></li> <li><span>You are continuously working on further improving our data collection monitoring, data quality, and integrity</span></li> <li><span>You perform audits of data quality</span></li> <li><span>You know our data, database and data structure</span></li> <li><span>You demonstrate detailed understanding of downstream data workflows and interdependencies</span></li> <li><span>You work closely with our Marketing managers and Customer care, to understand customer behaviour or data issues</span></li> <li><span>You help the privacy team to maintain GDPR compliance</span></li> <li><span>You follow identified issues with technical teams&nbsp;</span></li> <li><span>You collaborate on process improvement for their areas of responsibility to automate tasks and ensure greater accuracy</span></li> <li><span>You document and maintain Data Operations Specialist procedures and guidelines</span></li> </ul> <br> <p><span><strong><u>Growth &amp; Career Opportunities</u></strong></span></p><br> <p><span>At&nbsp;Pens.com,&nbsp;we&nbsp;strongly&nbsp;believe&nbsp;in&nbsp;internal&nbsp;development&nbsp;and&nbsp;mobility.&nbsp;Manyof&nbsp;our&nbsp;team members&nbsp;grow&nbsp;within&nbsp;the&nbsp;organization&nbsp;through&nbsp;internal&nbsp;opportunities and&nbsp;promotions.</span></p><br> <br> <p><span><strong><u>Requirements &amp; Qualifications</u></strong></span></p><br> <ul> <li><span>Proficiency in programming languages like SQL server, Snowflake (Python is a plus)</span></li> <li><span>Excellent analytical and problem-solving skills$</span></li> <li><span>Fluent level in English is required</span></li> <li><span>Attention to detail and a strong commitment to data accuracy and quality&nbsp;</span></li> <li><span>Cross functional support (ad hoc) with Marketing and Telesales agents</span></li> <li><span>Strong understanding of database&nbsp;and business needs</span></li> <li><span>Ability to work independently and collaboratively in a fast-paced environment, managing multiple projects and priorities&nbsp;</span></li> <li><span>Good proficiency in writing &amp; speaking the English language</span></li> <li><span>Motivated and energetic at completing tasks and learning new tasks</span></li> <li><span>Ability to meet deadlines.&nbsp;</span></li> <li><span>Knowledge of the reporting systems Looker is a plus&nbsp;</span></li> <li><span>Direct mail or Marketing experience is a plus</span></li> <li><span>Familiarity with cloud computing platforms like&nbsp;</span><span>AWS</span><span> (optional)</span></li> </ul> <br> <p><span><strong><u>Our values</u></strong></span></p><br> <p><span>At Pens.com, we are guided by a set of core values that define our culture and approach to hiring:</span></p><br> <p><span><strong>Customers-First:&nbsp;</strong></span></p><br> <p><span>We are committed to delivering exceptional customer experiences, both internally and externally. By understanding and fulfilling customer needs, we create impactful solutions that leave a lasting impression.</span></p><br> <p><span><strong>Continuous Improvement:&nbsp;</strong></span></p><br> <p><span>We believe in the power of growth and evolution. Through open communication and a culture of innovation, we continuously strive to enhance our business and adapt to changing landscapes.</span></p><br> <p><span><strong>Goal-Oriented:&nbsp;</strong></span></p><br> <p><span>We set clear objectives, remain disciplined in execution, and hold ourselves accountable for achieving measurable goals. Our focus is on driving results and making meaningful progress.</span></p><br> <p><span><strong>Integrity:&nbsp;</strong></span></p><br> <p><span>We prioritize ethics in everything we do, ensuring that our actions are grounded in integrity and responsibility towards our planet, products, and people.</span></p><br> <p><span><strong>People-Centric:&nbsp;</strong></span></p><br> <p><span>We value and respect every member of our team, fostering an environment where diversity is celebrated, contributions are recognized, and growth is encouraged.</span></p><br> <br> <span><strong>Equal Opportunity Employer</strong></span><br><span>We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation - no applicant will be penalized as a result of such a request.</span> <br> <p><span><strong>About Pens.com</strong></span><br><span>Pens.com's personalized promotional products are created for and inspired by small businesses. With 56 years of experience and serving 22 countries worldwide, Pens.com offers MORE value, savings and time to customers through expert guidance on a broad range of personalized promotional products, including writing instruments, stationery, drinkware, bags, gifts, and trade show accessories. Pens.com operates via a network of more&nbsp;than&nbsp;10&nbsp;facilities&nbsp;acrossNorth&nbsp;America,&nbsp;Europe,&nbsp;Africa,&nbsp;and&nbsp;Asia.</span><br><span>To&nbsp;learn&nbsp;more,visit:&nbsp;</span><span>www.PENS.com</span></p><br> <p><span>Pens.com&nbsp;is&nbsp;a&nbsp;National&nbsp;Pen&nbsp;and&nbsp;Cimpress&nbsp;brand&nbsp;(Nasdaq:&nbsp;CMPR).</span></p><br> <br> <p><span>#LI-AA1 #LI-Onsite</span></p><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 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><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br><br><p><b>Responsibilities</b></p><br><ul> <li>Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics.</li> <li>Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics.</li> <li>Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes.</li> <li>Serve as a data ambassador, promoting a data-driven marketing culture within the organization.</li> <li>Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders.</li> <li>Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts.</li> <li>Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies.</li> <li>Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions.<br></li> </ul><br><p><b>Requirements</b></p><br><ul> <li>Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.</li> <li>A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns.</li> <li>Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li> <li>Language skills : French and English (fluent) , Arabic is an advantage<br></li> </ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>You'll be part of a small, cross-functional data team that drives impact across Fabulous.<br> We work closely with Product Growth, User Acquisition, and Finance.<br> We take a full stack approach : every team member contributes across the full data spectrum.<br> We don't specialize into Analytics Engineering or Data Science or Data Analysis.<br> While we each have our own strengths, we contribute to projects across the entire spectrum of data work.<br> This encourages strong ownership and drives impact.<br> Practically, we work across three areas: - Analytics Engineering : Data modeling and transformations to build, maintain, and scale our analytics pipelines in dbt .<br> Once an MVP is validated, we implement and improve it iteratively - with solid testing, data observability, and architecture that keeps tech debt manageable.<br> - Applied Analytics : Data exploration, dashboard building in Omni, and ML model building.<br> We aim for simplicity and interpretability but don't shy away from complexity when we face it.<br> We work with highly data literate stakeholders - when building new models or dashboards we empower our users to continue to analyze the data themselves.<br> - Data Science: ML model building to make predictions to inform the business quickly.<br> Our stack: **Fivetran · BigQuery · dbt · Amplitude · Omni** This role is critical to the team's continued success: - Diverse, high-impact projects.<br> You'll work on business-critical problems in close collaboration with business teams — improving metric accuracy, exploring new growth perspectives, building well-tested reporting pipelines, investigating data discrepancies, or applying statistics and ML where they add real value.<br> - Building and maintaining our codebase.<br> You'll contribute to solid analytics pipelines using SQL and dbt.<br> Managing tech debt, improving engineering practices, and shaping the project's architecture are core to this role.<br> - Growing into ownership.<br> Over time, you'll own parts of the codebase, become the go-to person for at least one business team, and have a strong voice in how the analytics project evolves.<br> - Leveling up the team.<br> Share knowledge, and contribute to practices that help everyone grow.<br> Speak up - we want you to shape the team's direction, cohesion, and mission.<br> - Working autonomously.<br> You'll manage your own projects and stakeholders.<br> Clear, concise documentation is expected so future collaborators can build on your work.<br> We embrace the age of AI.<br> We use tools like Claude Code daily to write, review and ship code faster, while focusing our time on problem solving multiple projects in parallel.<br> We are building out multiple entry points for our business stakeholders to interact with our data in natural language and believe this is the future of data work.<br> You'll report to the Data Lead and be part of the Engineering team.<br> About Us An award-winning health, wellness, &amp; coaching company that creates apps which fall the top ten internationally.<br> Our science-based approach sits squarely in the tech-for-good lane, helping people live their best lives.<br> Everyone who has joined this company is committed to using evidence-based research to find the absolute best ways to change lives for the better.<br> Our History Three co-founders created the Fabulous app: Sami, Amine, and Taylor.<br> Growing up in Tunisia, Sami and Amine were only 16 when they met.<br> With their early iteration, they reached out to Taylor, an award-winning designer in Malaysia.<br> Their vision was welcomed into an incubation lab for startups at Duke University led by world-renowned Behavioral Economics Professor Dan Ariely.<br> Our Chief Storyteller Jaz co-founded the Introductory Psychology program at Stanford University.<br> Our Approach We use a behavioral economics lens to help individuals find that 'on switch' inside them to achieve their fullest potential.<br> What has emerged is a system that transforms tiny habits into profound long-term changes.<br> A world in which people with ADHD thrive.<br> A method for gratitude to reach through difficulty.<br> A sanctuary to seek out your true purpose.<br> A fountain of knowledge.<br> A space for rest and self compassion.<br> Our Mission Help every individual discover the wonderful person inside themselves by creating: beautiful, evidence-based, life-changing products.<br> Our Environment The first thing that sets us apart is that we’re not a place at all.<br> While we’re a remote company, it’s not unusual to feel you know your teammates better than those you’ve shared an office with in the past.<br> Ours is a professionally nourishing environment that is flexible and fully remote.<br> Team members enjoy in house challenges and Slack event and work across a variety of tools.<br> Meetings are kept to a minimum and deep work is encouraged.<br> Our Awards Apple Best Apps of 2018 Editor’s app choice in more than 30 countries Winner of Google’s Material Design Award Best App Finalist in Google Play Awards Consistently ranking in the top ten Health &amp; Fitness apps Backed by Facebook Startup Lab and Microsoft Venture Our Norms Ownership : Be the CEO of your tasks.<br> No one is watching over your shoulder.<br> Be the proof.<br> Open Communication: Constructive ideas are always flying across time zones.<br> Deep Work: Disconnect.<br> Find your flow.<br> Become industrious.<br> It’s about the work here.<br> Always Offer Context: Sharing rationale works wonders in asynchronous conversations.<br> Impeccable Agreement: Promise, then follow through.<br> Everyone relies on everyone.<br> Egos are checked at the door.<br> Those who join our workforce place themselves in service of our members.<br> Our Future To this day, over 30 million people have started their journey to better themselves with our apps.<br> We are creating a generation of change-makers, with the same drive to help others, each in their own way.<br> Our Invitation At Fabulous, every team member is a sculptor in their own right.<br> Together, we help millions of users step out of their block of stone and step into the fullest version of their life through behavioral science.<br> Tell us what drives you; if you were to pick up your tools, what would you contribution look like?<br> Required: - University degree in Engineering, Computer Science, or Applied Mathematics - 4+ years of experience across data science, analytics, or analytics engineering - ideally with exposure to more than one of these - Excellent SQL skills, with experience building data models using dbt (or similar tools) - Strong engineering fundamentals: testing, clean code, peer review, CI/CD, git workflows - Passionate about the future of AI, researches the cutting edge, not afraid to experiment with new tools - Experience with cloud data warehouses and modern data stack tools - Self-starter who takes ownership, manages stakeholders, and communicates proactively - Excellent written and verbal English - Comfortable working remotely (we're remote-first) Great to have: - Hands-on experience with Digital Marketing / User Acquisition (attribution, iOS privacy &amp; SKAN, UA metrics) or Product / Growth (A/B testing, retention, monetization) - Familiarity with our stack (Amplitude, dbt, BigQuery, Omni) - Good analytical and statistical intuition - Prior experience in an agile startup environment If you're excited about this role but don't check every box, we'd still love to hear from you.<br> We value curiosity and growth mindset over a perfect resume.<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"> 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Description du poste We are seeking a highly skilled Data Modeling Specialist to play a key role in designing and maintaining high-quality data models that support our clients' data and analytics initiatives. The ideal candidate combines strong technical expertise in data modeling with the ability to understand business processes and translate requirements into scalable, maintainable, and well-documented data structures. You will work closely with data architects, data engineers, business analysts, and business stakeholders to define data requirements, establish modeling standards, and deliver conceptual, logical, and physical data models that enable reliable reporting, analytics, and operational processes. Key Responsibilities : Collaborate with business stakeholders, data architects, analysts, and engineering teams to gather and analyze data requirements. Translate business requirements into conceptual, logical, and physical data models . Design and maintain robust data structures for both operational and analytical environments. Develop and maintain entity relationship diagrams (ERDs) and associated documentation. Apply data modeling best practices to ensure data consistency, integrity, scalability, and maintainability. Define entities, relationships, cardinalities, hierarchies, and business rules in accordance with business needs. Design dimensional models, including fact and dimension tables , to support reporting and analytical use cases. Ensure adherence to enterprise naming conventions, modeling standards, and metadata requirements. Work closely with ETL/ELT and data engineering teams to support the implementation of approved data models. Analyze existing data structures and recommend improvements or optimizations where necessary. Document data definitions, transformation logic, assumptions, and model decisions. Support data governance initiatives by contributing to metadata management and the identification of critical data elements. Participate in model reviews and validate that implemented solutions accurately reflect approved designs. Communicate complex data concepts effectively to both technical and non-technical stakeholders.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Required Qualifications : Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field. 4 5 years of hands-on experience in data modeling and database design. Strong expertise in creating conceptual, logical, and physical data models . Solid understanding of relational database concepts, including normalization and appropriate denormalization techniques. Proven experience designing dimensional models using star and snowflake schemas. Strong SQL skills with the ability to analyze and validate complex datasets. Hands-on experience with data modeling tools such as Erwin Data Modeler or PowerDesigner . Experience working with data warehouse initiatives and collaborating with ETL/ELT teams. Strong understanding of metadata management and documentation practices. Ability to identify and document business rules and translate them into effective data models. Excellent analytical, problem-solving, and communication skills. Ability to work effectively with cross-functional teams and stakeholders. Preferred Qualifications : Experience working within regulated environments and familiarity with Saudi NDMO and NDI requirements . Exposure to data governance concepts, including business glossaries, critical data elements, and data quality principles. Familiarity with modern cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery, or similar technologies. Understanding of alternative modeling approaches such as Data Vault . Experience using repository-based modeling environments and version control practices. We are looking for someone who is passionate about the discipline of data modeling and takes pride in producing clear, accurate, and scalable designs. The ideal candidate challenges assumptions, uncovers hidden business rules, asks the right questions, and delivers data models that provide a solid foundation for trusted data and analytics solutions.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>General Mission:&nbsp; Reporting to the DMT (Data Management Team), you will be responsible for managing and optimizing the intellectual property data production chains used in our products. You will ensure the delivery of customer data flows while respecting critical time and volume constraints.</p><p><br></p><p><br></p><p><b><br></b></p><p><b>Main Activities:</b></p><p><br></p><p><br></p><p>Production Management: Supervise and control more than 350 processes daily via the Opcon scheduler .</p><p><br></p><p>Technical Maintenance: Create, maintain and optimize operational scripts in Bash&nbsp; and Python&nbsp; integrating developers' Java code.</p><p><br></p><p>Incident Management: Diagnose malfunctions, perform palliative maintenance and ensure the investigation of problems.</p><p><br></p><p>Coordination: Communicate operational constraints to development teams in advance and interact with clients and suppliers via email.</p><p><br></p><p>Deliverables: Ensure the export of data in specific formats (ST36, ST86) and respect delivery schedules.</p><p><br></p><p><b><br></b></p><p><b>Desired Profile:</b></p><p><br></p><p><br></p><p>Experience: Minimum 3 to 5 years in system operations or administration.</p><p><br></p><p>Technical skills: Proficiency in Linux, SQL (Mysql), scripting (Bash/Python) and virtualization tools (Docker/Kubernetes).</p><p><br></p><p>Soft skills: Rigor, proactivity, professional ethics and the ability to switch quickly between different tasks.</p><p><br></p><p>Languages: Technical English essential.</p><p>&nbsp;</p><p><br></p><p>&nbsp;Data Operations Specialist</p><p><br></p><p>Core Mission: As part of the Data Management Team (DMT), you will be responsible for operating and monitoring numerous data production jobs and tasks. The main challenge is to ensure that large volumes of complex data are processed and delivered accurately and on time.</p><p><br></p><p><b><br></b></p><p><b><br></b></p><p><b>Key Responsibilities:</b></p><p><br></p><p><br></p><p>Orchestration &amp; Monitoring:Daily supervision of 350+ scheduled processes using the OpCon tool.</p><p><br></p><p>Technical Operations:Adapt and maintain Bash and Python scripts to integrate ETL processes and other data processing jobs.</p><p><br></p><p>Incident Management:Provide corrective maintenance and proactive troubleshooting for production issues.</p><p><br></p><p>Stakeholder Communication:Interface with data providers and data delivery clients, coordinate with the infrastructure support team when needed.</p><p><br></p><p>Data Delivery:Manage data exports while strictly adhering to delivery schedules.</p><p><br></p><p>Shared On-Call Duties:Participate in a scheduled on-call rotation with other operators to provide production support and interventions outside of normal working hours, including weekends.</p><p><br></p><p><b><br></b></p><p><b>Required Qualifications:</b></p><p><br></p><p><br></p><p>Experience:2 to 5 years in System Administration or Data Operations.</p><p><br></p><p>Technical Stack:Strong command of Linux environments, MySQL databases, and data transfer/communication protocols (SSH, FTP, etc.).</p><p><br></p><p>Skills:Proficiency in Bash and shell scripting is required. Knowledge of Python scripting, Git pipelines, orchestration tools (OpCon, Stonebranch, etc.), S3 storage, and Docker is a plus.</p><p><br></p><p>Soft Skills:Rigorous, methodical, communicative, and proactive.</p><p><br></p><p>Language:Professional working proficiency in English is mandatory.</p><p>&nbsp;</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><br></p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>You will join our AI squad, contributing to the development and deployment of advanced data science solutions to address business challenges and drive innovation. &nbsp; Your LittleBig Responsibilities: Develop and implement advanced data science models and algorithms, with a focus on Natural Language...</p> </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"> <p>Rejoignez notre équipe dynamique en tant qu'Ingénieur en Ingestion de Données, où vous serez responsable du cycle de vie complet des pipelines de données au sein de la Data Ingestion Factory. &nbsp; Vos Responsabilités : Développer et maintenir des pipelines d'ingestion robustes et...</p> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><p><span><strong>SYSTRA est un groupe international d’ingénierie et de conseil dans le domaine des transports publics et de la mobilité durable.</strong></span></p><br><br><p><span>Depuis 65 ans, le Groupe est engagé aux côtés des villes et des territoires pour contribuer à leur développement en créant, améliorant et modernisant leurs infrastructures et systèmes de transport. SYSTRA intervient de la conception jusqu’aux phases de test, de déploiement et de maintenance, en France comme à l’international. Grâce à ses nouveaux services, SYSTRA accompagne ses clients et partenaires dans leur transition digitale, écologique et énergétique, afin d’inventer les mobilités de demain.</span></p><br><br> Contexte <br><p><span><span>La Direction Conseil, Aménagement et Territoires (CAT) est <span>la business</span> unit de SYSTRA France en charge des solutions de mobilité et d'aménagement pour le développement des territoires en France et à l’international. </span><span>Cette Direction regroupe environ 430 collaborateurs avec des profils très variés (ingénieurs, ingénieurs géomètres, juristes, géopoliticiens, hydrogéologues, économistes, architectes, urbanistes, agents fonciers, environnementalistes, paysagistes, experts en concertation…) autour de six métiers complémentaires : </span></span></p><br><br><br><ul><li><span><span>Programmation et conduite d'opérations, </span></span></li></ul><ul><li><span><span>Stratégie et Etudes de mobilités, </span></span></li></ul><ul><li><span><span>Ingénierie environnementale et durable, </span></span></li></ul><ul><li><span><span>Coordination Santé et Prévention Sécurité, </span></span></li></ul><ul><li><span><span>Concertation et dialogue territorial, </span></span></li></ul><ul><li><span><span>Stratégie et ingénierie foncière. </span></span></li></ul><br> Missions/Responsabilités <br><br><p><span><span><span>Exploiter les méthodes de data science pour analyser les données de mobilité, développer des modèles prédictifs et optimiser les solutions d’ingénierie dans le secteur des transports.</span></span></span></p><br><br><p><span><span><span>En particulier, il s’agira de :&nbsp;</span></span></span></p><br><br><ul><li><span><span><span>Collecter, préparer et analyser des données massives issues des systèmes de transport (trafic, billets, IoT, etc.).</span></span></span></li></ul><ul><li><span><span><span>Développer des algorithmes de</span><span>&nbsp;traitement de données et d’apprentissage&nbsp;</span><span>adaptés aux problématiques de mobilité.</span></span></span></li></ul><ul><li><span><span><span>Concevoir et maintenir des applications/</span><span>dashboards</span><span>&nbsp;d’aide à la décision pour les équipes de transport et mobilité.</span></span></span></li></ul><ul><li><span><span><span>Automatiser les processus de collecte, traitement et visualisation des données.</span></span></span></li></ul><ul><li><span><span><span>Analyser les</span><span>&nbsp;rapports techniques et documentations de code.</span></span></span></li></ul><ul><li><span><span><span>Collaborer avec les équipes d’ingénieurs transports, urbanistes et a</span><span>ménageurs</span><span>.</span></span></span></li></ul><ul><li><span><span><span>Assurer une veille technologique sur les outils, langages et méthodes innovantes.</span></span></span></li></ul> Profil/Compétences <br><p><br><span>FORMATION :</span></p><br><br><p><span>Bac+5 ou école d’ingénieur Bac+5, master en data science/informatique/mathématiques appliquées</span></p><br><br><br><p><span>NOMBRE D’ANNÉES D’EXPÉRIENCE :</span></p><br><br><p><span>2 à 5 ans en data science et développement informatique, idéalement dans le domaine des transports.</span></p><br><br><br><p><span>Compétences techniques (réglementaire, outil informatique, domaine d’expertise) :</span></p><br><br><p><span>Solides compétences en programmation (maîtrise de Python indispensable, SQL et JavaScript souhaitable), et concepts associés (versioning ave git, API, gestion de bases de données, etc.)</span></p><br><br><p><span>Maîtrise des librairies Python et outils data-science (Pandas, Polars, Scikit-learn, TensorFlow, …) et SIG (geopandas, QGIS)</span></p><br><br><br><p><span>Bonne connaissance des problématiques de mobilité et d’ingénierie des transports.</span></p><br><br><p><span>Esprit analytique, autonomie et sens du travail en équipe.</span></p><br><br><p><span>Bonne capacité de vulgarisation technique et rédaction.</span></p><br><br><p><span>Bon niveau d’anglais professionnel.</span></p><br><br><br><p><span>Localisation : Tunis</span></p><br><br> <br><p><span>SYSTRA est une entreprise handi-accueillante.</span></p><br><br> Remote <p>No</p><br><br> <br> Why SYSTRA? Read more <span> sur Why SYSTRA?</span> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>Job&nbsp;Title:</strong>&nbsp;Merchandising Coordinator</span></p><br> <br> <p><span>&nbsp;<strong>Department:</strong> Merchandising</span></p><br> <br> <p><span><strong>Location</strong>:&nbsp;Tunis,&nbsp;Tunisia</span></p><br> <br> <p><span><strong>Reporting&nbsp;to:&nbsp;</strong>Senior Merchandise Manger</span></p><br> <br> <p><span><strong><u>Overview&nbsp;of&nbsp;Role:</u></strong></span></p><br> <p><br><span>&nbsp;The Merchandising Coordinator is responsible for supporting the Senior Merchandising Manager to drive sales, optimize the product assortment, and enhance the overall online shopping experience in alignment with the overall merchandising and category strategy. This role works closely with the Product Data Management (PDM) and Site merchandising teams to ensure all products are accurately set up, merchandised and optimized on site. The person in this role will be in a key role in leading and executing the day-to-day needs of the business. The ideal candidate should have strong organizational and communication skills, thrive in a fast-paced environment, and be comfortable collaborating across multiple teams.</span><br> &nbsp;</p><br> <br> <p><span><strong>&nbsp;<u>Primary Duties &amp; Responsibilities</u></strong></span><br> &nbsp;</p><br> <p><span><strong>&nbsp;<u>Support and execute merchandising strategy for North America</u></strong></span><br> &nbsp;</p><br> <ul> <li><span>Assist in executing marketing and site campaigns, including curated product lists, seasonal themes and collections&nbsp;</span></li> <li><span>Lead gap and competitive analysis at the market level and partner with merchandise managers on category strategy&nbsp;</span></li> <li><span>Collaborate with the Category Manager to implement product strategies and ensure timely product launches&nbsp;</span></li> <li><span>Manage the setup of new products in the system, ensuring accurate data entry for product descriptions, pricing, images, and attributes&nbsp;</span></li> <li><span>Cultivate and maintain strong vendor relationships through regular communication and collaboration&nbsp;</span></li> <li><span>Create and maintain visual merchandising boards to communicate product assortments to cross functional partners monthly&nbsp;</span></li> <li><span>Stay on top of industry trends via competitive shopping, social media, search interest, trade shows, etc.&nbsp;</span></li> </ul> <br> <p><span><strong><u>Support site initiatives to drive growth</u></strong></span><br> &nbsp;</p><br> <ul> <li><span>Partner with the site merchandising team to curate and manage product assortments, seasonal collections, and landing pages</span></li> <li><span>Assist in optimizing site merchandising elements, including product categorization, filters, and attributions to enhance the customer experience and drive conversion</span></li> <li><span>Monitor product placements and ensure accurate representation on the website, including pricing, photography, and product descriptions</span></li> <li><span>Ensure correct product categorizations are assigned to all products based on ecommerce and search optimization best practices</span></li> <li><span>Support photography process with the Creative and Merchandising teams to ensure products arrive to photoshoot in a timely manner to support lifestyle and product photography, including managing and updating the sample database</span></li> <li><span>Manage accuracy of product data via Product Information Management (PIM) tool and submit tickets to resolve issues via Jira</span></li> </ul> <p><span><strong>&nbsp; <u>Assist with product lifecycle management</u></strong></span></p><br> <ul> <li><span>Adhere to Product Development and MPP (Master Project Planning) calendars, and support deadlines a with internal and external partners to meet key deliverables for new product introductions each quarter</span></li> <li><span>QA all new product introductions to ensure SKUs are merchandised on the correct pages, orderable with the correct imagery, copy, and pricing</span></li> <li><span>Support pricing strategy for end-of-life products</span></li> <li><span>Manage accuracy of product data via Product Information Management (PIM) tool and submit tickets to resolve issues</span></li> </ul> <p><span><strong>&nbsp;<u>Reporting &amp; Optimization:</u></strong></span></p><br> <ul> <li><span>Generate reports on product performance and merchandising initiatives to track progress and optimize future efforts.</span></li> <li><span>Provide recommendations based on data insights to continuously improve merchandising strategies.</span></li> <li> <p><span>Manage ad hoc projects, as needed</span></p><br> </li> </ul> <p><span><strong>&nbsp;<u>Requirements and Qualifications</u></strong></span></p><br> <ul> <li><span>Bachelor's Degree or relevant experience</span></li> <li><span>2-4 years of relevant experience in eCommerce and/or Merchandising</span></li> <li><span>Fluent in English and European language is a plus (preferably German)</span></li> <li><span>Strong written, oral communication</span></li> <li><span>Self-starter who takes ownership and initiative and can excel in a fast-paced, high growth, entrepreneurial environment</span></li> <li><span>Proactive thinker with the ability to focus on meeting larger business goals</span></li> <li><span>Balance urgent and effective action, commitment to excellence, and take initiative to resolve problems and work quality</span></li> <li><span>Ability to work with limited resources and willingness to be involved in many aspects of a growing company</span></li> <li><span>Genuine interest/passion in the promotional products industry</span></li> <li> <p><span>Proficient in Microsoft Excel, Word, and PowerPoint</span></p><br> <p><br><span><strong><u>Our&nbsp;values</u></strong></span></p><br> <p><span>At&nbsp;Pens.com&nbsp;we&nbsp;are&nbsp;guidedby&nbsp;a&nbsp;set&nbsp;of&nbsp;core&nbsp;values&nbsp;thatdefine&nbsp;our&nbsp;culture&nbsp;and&nbsp;approach&nbsp;to hiring:</span></p><br></li> <li> <p><span><strong>Customers-First:</strong></span><br><span>We are committed to delivering exceptional customer experiences, both internally and externally.&nbsp;By&nbsp;understanding&nbsp;and&nbsp;fulfilling&nbsp;customer&nbsp;needs,&nbsp;we&nbsp;create&nbsp;impactful solutions&nbsp;that leave a lasting impression.</span></p><br></li> <li> <p><span><strong>Continuous&nbsp;Improvement:</strong></span><br><span>We&nbsp;believe&nbsp;in&nbsp;the&nbsp;powerof&nbsp;growth&nbsp;and&nbsp;evolution.&nbsp;Through&nbsp;open&nbsp;communication&nbsp;and&nbsp;a culture&nbsp;of&nbsp;innovation,&nbsp;we&nbsp;continuously&nbsp;strive&nbsp;to&nbsp;enhance&nbsp;our&nbsp;business&nbsp;and&nbsp;adapt&nbsp;to changing&nbsp;landscapes.</span></p><br></li> <li> <p><span><strong>Goal-Oriented:</strong></span><br><span>We&nbsp;set&nbsp;clearobjectives,&nbsp;remain&nbsp;disciplined&nbsp;in&nbsp;execution,&nbsp;and&nbsp;hold&nbsp;ourselves&nbsp;accountable for&nbsp;achieving&nbsp;measurable&nbsp;goals.&nbsp;Our&nbsp;focusis&nbsp;on&nbsp;drivingresults&nbsp;and&nbsp;makingmeaningful progress.</span></p><br></li> <li> <p><span><strong>Integrity:</strong></span><br><span>We&nbsp;prioritize&nbsp;ethicsin&nbsp;everything&nbsp;we&nbsp;do,&nbsp;ensuring&nbsp;that&nbsp;our&nbsp;actions&nbsp;are&nbsp;grounded&nbsp;in&nbsp;integrity and responsibility towards our planet, products, and people.</span></p><br></li> <li> <p><span><strong>People-Centric:</strong></span><br><span>We&nbsp;value&nbsp;and&nbsp;respect&nbsp;every&nbsp;member&nbsp;of&nbsp;our&nbsp;team,&nbsp;fostering&nbsp;an&nbsp;environment&nbsp;where&nbsp;diversity&nbsp;is celebrated, contributions are recognized, and growth is encouraged.</span><br><span><strong><u>Equal&nbsp;Opportunity&nbsp;Employer</u></strong></span><br><span>We&nbsp;are&nbsp;an&nbsp;equal&nbsp;opportunity&nbsp;employer&nbsp;and&nbsp;valuediversity&nbsp;at&nbsp;ourcompany.&nbsp;We&nbsp;do&nbsp;not discriminate&nbsp;on&nbsp;the&nbsp;basis&nbsp;of&nbsp;race,&nbsp;religion,&nbsp;color,&nbsp;national&nbsp;origin,sex,&nbsp;gender,&nbsp;gender&nbsp;expression, sexual orientation, age, marital status, veteran status, or disability status. We will&nbsp;ensure that individuals with disabilities are provided reasonable accommodation&nbsp;to participate&nbsp;in&nbsp;the&nbsp;job&nbsp;application&nbsp;or&nbsp;interview&nbsp;process,&nbsp;to&nbsp;perform&nbsp;essential&nbsp;job&nbsp;functions, and&nbsp;to&nbsp;receive&nbsp;otherbenefits&nbsp;and&nbsp;privileges&nbsp;of&nbsp;employment.&nbsp;Pleasecontact&nbsp;us&nbsp;to&nbsp;request accommodation&nbsp;-&nbsp;no&nbsp;applicant&nbsp;willbe&nbsp;penalized&nbsp;as&nbsp;a&nbsp;resultof&nbsp;such&nbsp;a&nbsp;request.</span><br><span><strong>About&nbsp;Pens.com</strong></span><br><span>Pens.com's personalized promotional products are created for and inspired by small businesses.&nbsp;With&nbsp;56&nbsp;years of&nbsp;experience&nbsp;and&nbsp;serving&nbsp;22&nbsp;countries&nbsp;worldwide, Pens.com&nbsp;offersMORE&nbsp;value,&nbsp;savings&nbsp;and&nbsp;time&nbsp;to&nbsp;customers&nbsp;through&nbsp;expert&nbsp;guidance on&nbsp;a&nbsp;broad&nbsp;rangeof&nbsp;personalized&nbsp;promotional&nbsp;products,&nbsp;including&nbsp;writing&nbsp;instruments,&nbsp;stationery,&nbsp;drinkware,&nbsp;bags,&nbsp;gifts,&nbsp;and&nbsp;trade&nbsp;show&nbsp;accessories.&nbsp;Pens.com&nbsp;operates&nbsp;via&nbsp;a network&nbsp;of&nbsp;more&nbsp;than10&nbsp;facilities&nbsp;acrossNorth&nbsp;America,&nbsp;Europe,&nbsp;Africa,&nbsp;and&nbsp;Asia.</span></p><br> <p><span>To&nbsp;learn&nbsp;more,&nbsp;visit:</span><span>www.PENS.com</span></p><br> <p><span>Pens.com&nbsp;is&nbsp;a&nbsp;National&nbsp;Pen&nbsp;and&nbsp;Cimpress&nbsp;brand&nbsp;(Nasdaq:&nbsp;CMPR).</span><br> &nbsp;</p><br></li> </ul> <br> <br> <p>#LI-NG1 #LI-Onsite</p><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><ul><br> </ul> <p> <strong><font dir="auto" ><font dir="auto" >SUPPLY</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Prepare and validate 12-month rolling sales forecasts with the Sales Departments.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the Lynks tool is up to date: Prepare and validate sales forecasts, etc.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensuring proper consumption/elimination of residual sales forecasts</font></font></li> <li><font dir="auto" ><font dir="auto" >Analyze the reliability of sales forecasts and edit the sales forecast reliability indicator.</font></font></li> <li><font dir="auto" ><font dir="auto" >Facilitate the monthly sales forecast follow-up meeting involving operations and sales departments.</font></font></li> <li><font dir="auto" ><font dir="auto" >Performing recurring computer data extractions: sales by item, stock valuation, </font></font></li> <li><font dir="auto" ><font dir="auto" >Calculation of monthly fuel supply requirements</font></font></li> <li><font dir="auto" ><font dir="auto" >Planning and preparation of fuel orders, attends programming meetings with the national programmer</font></font></li> <li><font dir="auto" ><font dir="auto" >Securing supplies by monitoring ship movements and SOTRAPIL programs</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensuring adequate stock levels of tools and safety stock; monitoring procurement budgets</font></font></li> <li><font dir="auto" ><font dir="auto" >To propose appropriate solutions in case of problems (shortage, shortage or other)</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >LOGISTICS ANALYSIS</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Monitor key indicators: service rate, stock level, then propose and implement action plans in case of deviations.</font></font></li> <li><font dir="auto" ><font dir="auto" >Analyze the risks of disruption, seek solutions with the sales team, Transport and Supply manager.</font></font></li> <li><font dir="auto" ><font dir="auto" >Analyze logistics flows from different dashboards and propose supply chain optimization actions (supply, sites, transport)</font></font></li> <li><font dir="auto" ><font dir="auto" >Create and update logistics and financial dashboards</font></font></li> <li><font dir="auto" ><font dir="auto" >Complete the documentation/procedure for the various processes involved in managing the SCM</font></font></li> <li><font dir="auto" ><font dir="auto" >Support for crisis management.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >ADMINISTRATIVE MANAGEMENT</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Prepare and monitor DGH files (decisions and authorizations, security stock transfer, capacity rental, general submissions, security bonus, etc.) at the General Directorate of Hydrocarbons to be in line with the regulations in force.</font></font></li> <li><font dir="auto" ><font dir="auto" >Prepare and monitor administrative files (capacity rental, storage, etc.) with various administrations and service providers (DGH, OMMP, STIR, TANKMED, etc.)</font></font></li> <li><font dir="auto" ><font dir="auto" >Check and validate supplier invoices: STIR, SOTRAPIL, Confr res.</font></font></li> <li><font dir="auto" ><font dir="auto" >Entry of monthly orders for various white goods per site, with price updates in the system.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the monitoring and archiving of supply contracts, and manage their renewal dates.</font></font></li> </ul> <p><br></p></div><div><div><div> </div></div></div></div></section>

<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>