Python Developer Jobs in Tunisia
43 Jobs Found
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<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>
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<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>
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<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>
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<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>
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<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>
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<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 Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs 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 cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; 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> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 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>
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<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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>General Mission: 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 and Python 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> </p><p><br></p><p> 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 & 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> </p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><br></p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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 & 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 & 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 & Production Support:</p><p>Analyze cluster performance (Search & 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 & 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 & 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>
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<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>
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<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 : </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> traitement de données et d’apprentissage </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> 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> 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
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<br> Why SYSTRA? Read more <span> sur Why SYSTRA?</span>
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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 & 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 & 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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >As part of our Data & Analytics activities, we support our clients, particularly in the banking and financial sector, in their data transformation programs and the modernization of their analytical platforms.</font></font></p><p><font dir="auto" ><font dir="auto" >We are looking for a Senior Data Consultant to play a key role in the migration of existing SAS 9 processes, data validation and reconciliation, as well as the adaptation of flows and applications to the new target environment.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><font dir="auto" ><font dir="auto" >Minimum 3-5 years of experience in a similar role as a Data Scientist or Engineer.</font></font></li><li><font dir="auto" ><font dir="auto" >Mastery of SAS development and good knowledge of SAS 9.x and SAS Viya environments.</font></font></li><li><font dir="auto" ><font dir="auto" >Good mastery of version control tools (Git)</font></font></li><li><font dir="auto" ><font dir="auto" >Basic knowledge of Linux environments</font></font></li><li><font dir="auto" ><font dir="auto" >Good mastery of SQL and data manipulation and validation techniques.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience or knowledge of Python is a plus.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience or an interest in prompt engineering is a plus.</font></font></li><li><font dir="auto" ><font dir="auto" >Ability to operate in a dynamic and demanding environment, in Agile/IT mode.</font></font></li><li><font dir="auto" ><font dir="auto" >Autonomy, initiative, and a solution-oriented approach.</font></font></li><li><font dir="auto" ><font dir="auto" >Excellent communication skills and team spirit.</font></font></li><li><font dir="auto" ><font dir="auto" >Fluent French and professional English (written and spoken).</font></font></li><li><font dir="auto" ><font dir="auto" >Prior experience in the banking, insurance or corporate finance sector is highly valued.</font></font></li></ul><p></p></section>
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Join our Team
<br><p><strong>About this opportunity:</strong></p><br><br><p><br>We are looking for a skilled and motivated RAN Network Engineer to support the deployment, optimization, performance, and maintenance of mobile radio access networks. In this role, you will ensure optimal coverage, capacity, quality, and customer experience across 2G, 3G, 4G, and 5G technologies. You will work closely with cross-functional teams to improve network performance, troubleshoot complex radio issues, implement new features, and support network evolution initiatives.</p><br><br><br><p><strong>What you will do:</strong></p><br><br><p><br>• Plan, deploy, integrate, and optimize 2G, 3G, 4G, and 5G RAN networks. <br>• Configure radio parameters, neighbor relations, and mobility settings. <br>• Support site integration, commissioning, cluster acceptance, and network rollout activities. <br>• Monitor and optimize RAN KPIs including accessibility, retainability, mobility, and throughput. <br>• Perform coverage, capacity, and interference optimization. <br>• Conduct root cause analysis for call drops, congestion, low throughput, and network performance issues. <br>• Implement RAN parameter changes, feature activations, and software upgrades through OSS platforms. <br>• Support and optimize technologies such as VoLTE, VoNR, Carrier Aggregation (CA), DSS, MIMO, SON, and beamforming. <br>• Analyze traffic trends and recommend capacity expansion strategies, including carrier additions and spectrum refarming. <br>• Execute drive tests, benchmarking activities, and post-implementation validations. <br>• Collaborate with Core, IMS, EPC, 5GC, Transmission, and IP teams to resolve end-to-end service issues. <br>• Ensure configuration consistency and compliance with change management processes. <br>• Contribute to automation and continuous improvement initiatives. </p><br><br><br><p><strong>The skills you bring:</strong></p><br><br><p><br>• Radio Network Design and Optimization. <br>• LTE and 5G NR Technologies. <br>• RAN Performance Management. <br>• KPI Analysis and Troubleshooting. <br>• Network Deployment and Integration. <br>• Coverage and Capacity Optimization. <br>• Root Cause Analysis. <br>• OSS Platforms (Ericsson, Huawei, Nokia). <br>• Drive Test Tools (TEMS, Nemo, SwissQual). <br>• VoLTE and VoNR Optimization. <br>• Change and Configuration Management. <br>• Automation and Scripting (Python is a plus). <br>• Data Analytics and Reporting. <br>• Service Delivery and Customer Focus. <br>• Stakeholder Management. <br>• Knowledge Sharing and Collaboration. <br>• Cloud-RAN and Open RAN Awareness. </p><br><br><br><p><strong>Qualifications:</strong></p><br><br><p><br>• Bachelor's degree in Telecommunications, Electronics Engineering, Computer Engineering, or a related field. <br>• Experience working with 2G, 3G, 4G, and/or 5G RAN environments. <br>• Experience in radio optimization, performance management, and network troubleshooting. <br>• LTE, 5G, RF Planning, or Optimization certifications are an advantage. </p><br><br><br><p><strong>Nice to Have:</strong></p><br><br><p><br>• Experience with SON (Self-Organizing Networks). <br>• Knowledge of Cloud-RAN and Open RAN architectures. <br>• Python or other automation/scripting experience. <br>• Exposure to IMS, EPC, 5GC, and end-to-end VoLTE troubleshooting. <br>• Experience in multi-vendor network environments.</p><br><br><p><strong>Why join Ericsson?</strong>At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.<br> <br><strong>What happens once you apply?</strong>Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.</p><br><br><br><p><strong>Primary country and city:</strong> Tunisia (TN) || Tunis</p><br><br><p><strong>Req ID:</strong> 786304 </p><br><br><br><br><br> </div>
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<span>We are looking for a versatile and talented Full-stack Developer to grow with our global development team.<br> You will be working remotely on the main Assima platform application.<br> Your key role will be to implement features and maintain our platform developed in C# and .<br>NET framework.<br> There will be opportunities to work on the future version of our application as a backend developer (Python) or frontend (React) , depending on priorities and skills.<br> Roles and Responsibilities Develop and maintain features for our main platform Deploy code to production and respond to live incidents in production Work closely with developers and QA testers to deliver and meet expectations Work in an international environment with teams in multiple time zones Think out of the box and solve unique problems Attention to detail Core skills 3+ years of experience with C# Strong experience with .<br>NET Framework (ASPX) and ASP.<br>NET Experience with .<br>NET Core / ASP.<br>NET Core Experience with Microsoft SQL Server Bonus Experience with Entity Framework (EF / EF Core) Experience with WCF (Windows Communication Foundation) services Experience with RabbitMQ or other message brokers Strong knowledge of JavaScript, HTML, CSS, JQuery Understanding of asynchronous programming and multithreading Experience with TFS (Team Foundation Server) / Azure DevOps Familiarity with non-relational databases such as MongoDB and Apache Solr Special Requirements for the Role Ability to work and communicate clearly and efficiently with team members, with strong English communication both written and spoken M.<br>S. Degree in Computer Science or similar Work within a successful, dynamic, small and growing team Availability to work during CET business hours</span> </div>
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<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>
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Join our Team
<br><p><strong>About this opportunity</strong></p><br><br><br><p>At Ericsson, we are shaping the future of mobile connectivity through advanced 5G, cloud, and network technologies operating in more than 180 countries worldwide. <br>We are looking for a highly skilled RAN Integration Engineer to join our dynamic and multicultural team supporting customers across the EMEA region. This role is ideal for professionals passionate about mobile network technologies, automation, and delivering high-quality network integration projects across multi-technology environments.</p><br><br><p><br><strong>About the Team</strong><br>You will join a collaborative and technically advanced team responsible for the deployment, integration, commissioning, and modernization of multi-technology Radio Access Networks (RAN). The team supports customers both remotely and onsite across EMEA markets and plays a key role in introducing new technologies including 5G NSA and SA deployments. <br>Working closely with optimization, IP transport, and core network teams, you will contribute to delivering seamless network rollouts while leveraging automation and modern operational practices to ensure efficient and first-time-right delivery.</p><br><br><p><strong><br>What You Will Do</strong></p><br><br><p><br>• Lead end-to-end integration and commissioning activities for RAN technologies including 5G, LTE, WCDMA, and GSM <br>• Perform advanced troubleshooting and fault analysis across multi-vendor and multi-technology network environments <br>• Execute software upgrades, feature implementation, and network modernization activities <br>• Develop and utilize automation scripts using Python or similar scripting languages to improve operational efficiency <br>• Provide end-to-end technical support during deployment, expansion, and integration projects <br>• Collaborate with planning, optimization, transport, and core network teams to ensure successful network rollout <br>• Conduct testing, validation, and acceptance activities for newly integrated network elements <br>• Ensure compliance with network quality, operational, and performance standards <br>• Support continuous improvement initiatives and contribute to automation-driven delivery models <br>• Lead or mentor technical teams during complex integration and deployment activities </p><br><br><br><p><strong>What You Bring</strong></p><br><br><p><br><strong>Must-Have Skills & Experience</strong></p><br><br><p><br>• Proven experience in RAN integration and troubleshooting across 5G / 4G / 3G / 2G technologies <br>• Strong understanding of RAN architecture, deployment processes, and integration methodologies <br>• Experience with Ericsson RAN platforms, software upgrades, and commissioning activities <br>• Knowledge of IP networking and transport technologies <br>• Strong scripting and automation capabilities using Python, Java, or similar technologies <br>• Hands-on experience with multi-vendor telecom environments <br>• Excellent analytical, troubleshooting, and problem-solving skills <br>• Strong communication and stakeholder management capabilities <br>• Ability to work in multicultural and cross-functional environments <br>• Willingness to travel across EMEA when required </p><br><br><p><br><strong>Preferred Qualifications</strong></p><br><br><p><br>• Bachelor’s degree in Telecommunications, Computer Engineering, Information Technology, or related field <br>• Minimum 5 years of experience in RAN integration or telecom deployment environments <br>• Experience supporting large-scale 5G rollouts and modernization programs <br>• Understanding of network KPIs and optimization fundamentals <br>• Experience with automation tools and modern operational practices <br>• Knowledge of cloud-native telecom environments is considered an advantage </p><br><br><p><strong>Why join Ericsson?</strong>At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.<br> <br><strong>What happens once you apply?</strong>Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.</p><br><br><br><p><strong>Primary country and city:</strong> Tunisia (TN) || Tunis</p><br><br><p><strong>Req ID:</strong> 785105 </p><br><br><br><br> </div>
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Company Description<p>LEONI is a global leading provider of products, solutions and services for energy and data management in the automotive industry. With around 86,000 employees in 21 countries and consolidated sales of EUR 3.9 billion in 2025 (excluding the former Automotive Cable Solutions division), we are a leading supplier of complex wiring systems and customer‑specific cable harnesses.</p><br><p>Since 2025, we have been part of the Luxshare Group, a global technology company headquartered in China. Together, we are shaping the future of mobility. Join us and help drive the transformation of the automotive world</p><br><br><br>Job Description<p><strong>1. Technical implementation & expertise</strong></p><br><p>· Design, develop, test, and deploy automation solutions using UiPath and Microsoft Power Automate</p><br><p>· Build reusable and scalable automation frameworks (e.g. REFramework)</p><br><p>· Develop unattended bots</p><br><p>· Integrate automation solutions with APIs, databases, and enterprise systems</p><br><p>· Troubleshoot, maintain and optimize use cases and automation performance</p><br><p>· Maintain documentation and reusable components</p><br><p><strong>2. Solution design & consulting</strong></p><br><p>· Collaborate with stakeholders to implement automation solutions</p><br><p>· Analyze and document business processes (AS-IS / TO-BE)</p><br><p>· Translate requirements into technical solutions</p><br><p>· Advise on feasibility and create effort estimation</p><br><p>· Act as consultant in automation initiatives</p><br><p><strong>3. Governance, quality & best practices</strong></p><br><p>· Apply RPA standards and governance models</p><br><p>· Ensure code quality and compliance</p><br><p>· Perform “code / automation project” reviews</p><br><p>· Maintain documentation and standards</p><br><p><strong>5. Continuous improvement & innovation</strong></p><br><p>· Identify improvement opportunities</p><br><p>· Explore AI integrations</p><br><p>· Stay updated with RPA trends</p><br><p>· Support scaling initiatives</p><br><br><br>Qualifications and Experience<p><strong>Must-have</strong></p><br><p>· 3+ years RPA experience</p><br><p>· Strong UiPath expertise</p><br><p>· Power Automate experience</p><br><p>· API/database integration</p><br><p>· Strong problem-solving</p><br><p>· Business-to-technical translation skills</p><br><p><strong>Nice-to-have</strong></p><br><p>· Microsoft Power Platform</p><br><p>· Python/.NET/VBA</p><br><p>· AI</p><br><p>· Microsoft Azure DevOps</p><br><p>· Certifications from UiPath and Microsoft Power Platform</p><br><br><br>Benefits<p>· You’ll be part of a cross-functional automation team in a global environment</p><br><p>· You will collaborate with business and IT stakeholders while contributing to scalable automation initiatives.</p><br><p>· You’ll work in an environment that values innovation, experimentation, and growth.</p><br><p>· Opportunities for certifications and development.</p><br><br> </div>
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Company Description<p>LEONI is a global leading provider of products, solutions and services for energy and data management in the automotive industry. With around 86,000 employees in 21 countries and consolidated sales of EUR 3.9 billion in 2025 (excluding the former Automotive Cable Solutions division), we are a leading supplier of complex wiring systems and customer‑specific cable harnesses.</p><br><p>Since 2025, we have been part of the Luxshare Group, a global technology company headquartered in China. Together, we are shaping the future of mobility. Join us and help drive the transformation of the automotive world</p><br><br><br>Job Description<p><strong>1. Technical implementation & expertise</strong></p><br><p>· Design, develop, test, and deploy automation solutions using UiPath and Microsoft Power Automate</p><br><p>· Build reusable and scalable automation frameworks (e.g. REFramework)</p><br><p>· Develop unattended bots</p><br><p>· Integrate automation solutions with APIs, databases, and enterprise systems</p><br><p>· Troubleshoot, maintain and optimize use cases and automation performance</p><br><p>· Maintain documentation and reusable components</p><br><p><strong>2. Solution design & consulting</strong></p><br><p>· Collaborate with stakeholders to implement automation solutions</p><br><p>· Analyze and document business processes (AS-IS / TO-BE)</p><br><p>· Translate requirements into technical solutions</p><br><p>· Advise on feasibility and create effort estimation</p><br><p>· Act as consultant in automation initiatives</p><br><p><strong>3. Governance, quality & best practices</strong></p><br><p>· Apply RPA standards and governance models</p><br><p>· Ensure code quality and compliance</p><br><p>· Perform “code / automation project” reviews</p><br><p>· Maintain documentation and standards</p><br><p><strong>5. Continuous improvement & innovation</strong></p><br><p>· Identify improvement opportunities</p><br><p>· Explore AI integrations</p><br><p>· Stay updated with RPA trends</p><br><p>· Support scaling initiatives</p><br><br><br>Qualifications and Experience<p><strong>Must-have</strong></p><br><p>· 3+ years RPA experience</p><br><p>· Strong UiPath expertise</p><br><p>· Power Automate experience</p><br><p>· API/database integration</p><br><p>· Strong problem-solving</p><br><p>· Business-to-technical translation skills</p><br><p><strong>Nice-to-have</strong></p><br><p>· Microsoft Power Platform</p><br><p>· Python/.NET/VBA</p><br><p>· AI</p><br><p>· Microsoft Azure DevOps</p><br><p>· Certifications from UiPath and Microsoft Power Platform</p><br><br><br>Benefits<p>· You’ll be part of a cross-functional automation team in a global environment</p><br><p>· You will collaborate with business and IT stakeholders while contributing to scalable automation initiatives.</p><br><p>· You’ll work in an environment that values innovation, experimentation, and growth.</p><br><p>· Opportunities for certifications and development.</p><br><br> </div>
<h2 class="h5">Job description</h2>
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<span>Siemens Digital Industries Software is a global technology powerhouse. With some of the best-known brands in the world, Siemens has stood for engineering excellence, innovation, quality, and reliability for more than 175 years. We are looking for a highly motivated Software Engineer to join our Hardware-Assisted Verification Division. You will be part of a high-performing FPGA-based prototyping R&D team responsible for designing, developing, and debugging software programs for the Veloce proFPGA prototyping platform. Job Responsibilities: Assist senior engineers in designing, developing, modifying, and implementing software for internal and external products, with a focus on exceeding customer expectations through high-quality and timely delivery. Ensure the overall functional quality of released products across all required platforms and mechanisms. Work under close supervision. Apply basic skills with moderate levels of proficiency. Develop software for low-level validation of components. Integrate system components in close coordination with the software team. Qualifications: Bachelor’s or Master’s degree, or equivalent experience, in Computer Science or Electronics Engineering. Experience with C++, algorithms, and object-oriented software development. Proficiency in digital design using HDL languages such as VHDL, Verilog, and SystemVerilog. Hands-on experience with FPGA design, FPGA tools (Vivado, Quartus), and static timing analysis (STA). Strong debugging skills in RTL design and simulation. Familiarity with Linux and scripting languages such as TCL, Bash, and Python. Experience working in collaborative, multi-team environments using version control systems such as Git, Perforce, or SVN. Fluent in English. We’re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme and generous holiday allowance. Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity. #LI-EDA #LI-Hybrid</span> </div>