Freelance Data Science Engineer Specializing in Python & SQL

We invite you to submit your CV in English, along with your English language proficiency level.Mindrift connects experts with project-based AI opportunities in collaboration with leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Opportunity Overview:Each projec…

Please submit your CV in English and indicate your level of English proficiency.Join Mindrift, where we bridge the gap between talented specialists and innovative AI projects for top tech companies. Our focus is on enhancing AI systems through testing, evaluation, and improvement. This role is project-based and does not offer permanent employment.Opportunity OverviewAs a Data Scientist, your contributions will vary by project but may include:Designing complex data science challenges that reflect real-world analytical processes across various sectors (telecommunications, finance, government, e-commerce, healthcare).Creating Python-based problems that utilize libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensuring tasks are computationally intensive, necessitating automation rather than manual solutions.Developing problems that involve intricate reasoning paths in data processing, statistical analysis, feature engineering, predictive modeling, and deriving insights.Formulating deterministic problems with consistent answers, steering clear of stochastic elements unless fixed random seeds are employed.Grounding problems in genuine business scenarios, including customer analytics, risk evaluation, fraud detection, forecasting, optimization, and operational efficiency.Crafting end-to-end data science projects that traverse the complete pipeline from data ingestion to deployment considerations.Incorporating scenarios that demand scalable computational approaches for big data processing.Validating solutions using Python and standard data science libraries alongside statistical techniques.Documenting problem statements with clarity, providing realistic business contexts along with verified correct answers.QualificationsThis opportunity is ideal for data science professionals with Python expertise, seeking part-time, non-permanent projects. The ideal candidate will possess:A minimum of 5 years of practical data science experience demonstrating measurable business impact.A portfolio showcasing completed projects and publications that highlight real-world problem-solving skills.Proficiency in Python programming specifically for data science applications (including pandas, numpy, scipy, scikit-learn, statsmodels).Strong background in statistical analysis and machine learning, with a deep understanding of algorithms and their practical applications.Advanced SQL skills for effective data manipulation and analysis.Experience with Generative AI technologies (LLMs, RAG, prompt engineering, vector databases).Knowledge of MLOps practices and model deployment workflows.Familiarity with modern frameworks like TensorFlow, PyTorch, and LangChain.Excellent written English skills (C1 level or higher).Application ProcessTo apply, please submit your CV, pass the required qualifications, join a project, complete assigned tasks, and receive compensation for your work.

Please submit your CV in English and describe your English language proficiency. toloka-ai, working with Mindrift, connects experienced professionals to project-based AI work for leading technology companies. This freelance contract centers on evaluating and refining AI systems. The position is not permanent and assignments are project-based. Project Scope Each assignment brings a new data science challenge. Typical responsibilities include: Designing original data science problems that reflect real analytical workflows in sectors such as telecom, finance, government, e-commerce, and healthcare. Building problems that require Python solutions, using libraries like Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensuring tasks are computationally intensive and cannot be solved by hand in a short time. Developing complex scenarios involving data processing, statistical analysis, feature engineering, predictive modeling, and drawing insights. Creating deterministic problems with reproducible outcomes, either by avoiding randomness or setting fixed seeds. Basing problems on real business needs, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Covering the entire data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Including big data processing that requires scalable approaches. Validating solutions with Python and standard data science tools and statistical methods. Documenting each problem clearly, providing realistic business context and verified solutions. Requirements At least 5 years of hands-on data science experience with measurable business results. A portfolio of completed projects or publications showing real-world problem solving. Expertise in Python for data science (including pandas, numpy, scipy, scikit-learn, statsmodels). Deep understanding of statistical analysis and machine learning, including practical algorithms and applications. Advanced SQL skills and experience with database operations for analysis and data manipulation. Background in Generative AI technologies (such as LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment practices. Familiarity with frameworks like TensorFlow, PyTorch, or LangChain. Strong written English skills at C1 level or above. Application Process Apply Complete qualifications Join a project Perform tasks Receive payment This freelance data scientist role is remote, based in Lyon, Auvergne-Rhône-Alpes, France.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based remote opportunities for professionals in Lyon, Auvergne-Rhône-Alpes, France, and beyond. These freelance roles focus on testing, evaluating, and improving AI systems for leading tech companies. Participation is on a per-project basis and does not constitute permanent employment. Role overview Freelance AI Trainers specializing in Chemistry and Python contribute to a range of unique projects. Tasks vary by project and may include: Developing original computational chemistry problems that reflect real-world research workflows. Designing problems that require Python programming to solve, using libraries such as NumPy, SciPy, and chemistry-specific packages. Ensuring problems are computationally intensive and not solvable by hand within a reasonable timeframe. Creating tasks that involve complex reasoning in areas like physical chemistry, quantum chemistry, and molecular modeling. Basing problem statements on real research questions or practical chemistry scenarios. Validating solutions with Python, following standard computational chemistry techniques. Documenting problem statements clearly and providing verified, correct solutions. Requirements Degree in Chemistry or a related field. Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or similar programming languages is also accepted. Minimum of 2 years of professional experience in application, research, or teaching. Familiarity with numerical methods in chemistry. Understanding of computational chemistry concepts and methodologies. Excellent written English skills at C1 level or above. How projects work The process is straightforward: apply, pass qualifications, join a project, complete assigned tasks, and receive compensation. Time expectations During active project phases, contributors typically commit 10–20 hours per week. Actual workload depends on project needs and is not guaranteed outside active periods. Compensation Earnings can reach up to $45 per hour, depending on expertise and pace. Compensation varies by project scope, complexity, and required skills.

We kindly request that you submit your CV in English, along with your proficiency level in the language.Mindrift is a dynamic platform that bridges talented specialists with project-oriented AI opportunities at leading technology firms, emphasizing the evaluation and enhancement of AI systems. Please note that participation is project-based and does not lead to permanent employment.Role Overview:Your contributions will involve various tasks tailored to each project, including:Designing innovative material engineering challenges that reflect true engineering workflows;Developing problems that necessitate Python programming for engineering simulations and calculations;Creating computationally intensive problems that require numerical methods or iterative solutions;Formulating challenges involving system design, optimization, and analysis;Aligning problems with real-world research issues or practical engineering applications;Validating solutions through Python using established engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications:This opportunity suits material scientists and engineers proficient in Python, open to engaging in part-time, non-permanent projects. Ideally, candidates will possess:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is acceptable;A minimum of 2 years of professional experience, which can include applied, research, or teaching roles;A solid understanding of practical engineering limitations and approximations;Exceptional written English skills (C1+).How the Process Works:Apply → Successfully pass qualifications → Join a project → Complete assigned tasks → Receive paymentProject Expectations:For this role, tasks are anticipated to require approximately 10–20 hours per week during active phases, contingent on project demands. This is an estimation and not a guaranteed workload while the project is ongoing.Compensation:Contributors can earn up to $45 per hour, based on their contribution level and pace. Compensation may vary across projects depending on the scope, complexity, and required expertise. Please be aware that different projects on the platform may offer varying compensation rates based on their specific requirements.

We kindly request that you submit your CV in English, along with your proficiency level in the English language.Mindrift connects talented professionals with project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This engagement is project-based and does not constitute permanent employment.Key Responsibilities:Although each project presents distinct tasks, participants may:Design innovative computational engineering challenges that replicate real-world engineering workflows;Develop problems necessitating Python programming for engineering calculations and simulations;Ensure challenges are computationally intensive, requiring numerical methods or iterative solutions;Create projects involving system design, optimization, and analysis;Base challenges on real research issues or practical applications in engineering;Verify solutions using Python and established engineering libraries;Document problem statements clearly and provide verified correct solutions.Qualifications:This role is ideally suited for engineers with experience in Python who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is acceptable;A minimum of 2 years of professional experience, including applicable applied, research, or teaching experience;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or practical projects are advantageous.Process Overview:Submit application → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Project Time Commitment:For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, contingent upon project requirements. This is an estimate and not a guaranteed workload.Compensation:Contributors may earn up to $50 per hour, depending on their experience and contribution pace. Compensation varies by project based on scope, complexity, and required expertise. Please note that other projects may present different earnings based on their specific requirements.

Toloka AI seeks a freelance AI Trainer with a background in civil engineering and strong Python skills. This remote contract is based in Lyon, Auvergne-Rhône-Alpes, France. Role overview This position blends technical knowledge in civil engineering and Python programming with a focus on education. Trainers guide learners in understanding how AI can address real-world engineering challenges and help expand AI skills within the field. What you will do Develop training materials centered on AI applications in civil engineering Lead sessions for those interested in AI and engineering topics Answer questions and clarify concepts for participants Work with the team to refine and broaden AI training programs

We invite you to submit your CV in English, detailing your level of English proficiency.Mindrift is a dynamic platform that connects talented specialists with project-based AI opportunities in leading tech firms. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.Project InvolvementEach project presents unique challenges, and contributors may be engaged in tasks such as:Creating original computational physics problems that reflect authentic physics research workflows;Designing problems that necessitate Python programming to solve, utilizing libraries like Numpy, SciPy, and Sympy;Ensuring that problems are computationally intensive and cannot be resolved manually in a reasonable timeframe;Developing complex problems involving reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on genuine research challenges or practical applications derived from physics practice;Validating solutions using Python with standard physics simulation libraries;Providing clear documentation for problem statements along with verified correct answers.Ideal Candidate ProfileThis position suits optical engineers proficient in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming languages is acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;Experience with numerical simulation techniques;The ability to create problems that reflect real-world physics research workflows;Creative and analytical thinking in problem design across various physics domains;Familiarity with physics modeling and approximation strategies;Exceptional written English skills (C1+ level).Application ProcessSubmit your application → Pass required qualifications → Join a project → Complete assigned tasks → Receive compensation.Project CommitmentDuring active project phases, tasks are expected to require approximately 10–20 hours per week, contingent upon project needs. This estimation is not a guaranteed workload.Compensation DetailsContributors can earn up to $45 per hour, depending on their experience and contribution level. Please note that compensation may vary across different projects based on their specific requirements and complexity.

Toloka AI is looking for a freelance specialist with a strong background in biology and hands-on experience with Python programming. This position centers on supporting the development and improvement of AI models that address challenges in biological research and applications. As an AI Trainer, you will apply your subject matter knowledge to help shape advanced tools for the life sciences. The work is fully remote, connecting you with a team committed to innovation in artificial intelligence. Role overview Contribute biological expertise to projects involving AI and Python. Help refine and improve AI models for use in biological contexts. Collaborate remotely with colleagues focused on AI advancements. Requirements Strong knowledge of biology. Experience programming in Python. Interest in artificial intelligence and its applications in biology. Ability to work independently in a remote setting.

Please submit your CV in English and include your English proficiency level. Role overview This freelance position with toloka-ai (via Mindrift) connects material scientists to project-based AI work for leading technology companies. The main focus is evaluating and improving AI systems. Assignments are temporary and do not constitute permanent employment. What you will do Design materials engineering problems that mirror real-world workflows Create challenges requiring Python programming for engineering calculations and simulations Develop computationally intensive problems using numerical methods or iterative approaches Build tasks involving system design, optimization, and analysis Base challenges on research questions or practical engineering scenarios Validate solutions using Python and standard engineering libraries Document problem statements clearly and provide verified answers Requirements Degree in Material Science or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus At least 2 years of professional experience (applied, research, or teaching) Solid understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) How projects work Apply Pass qualifications Join a project Complete assigned tasks Receive payment Time commitment Active project phases usually require 10–20 hours per week. Actual hours depend on current project needs and are not guaranteed outside of active assignments. Compensation Earn up to $45 per hour, depending on experience and the rate of task completion. Pay may vary by project scope, complexity, and required expertise. Other projects may offer different rates based on their specific requirements.

As part of its expansion in the Lyon region, Sia is eager to recruit local Data Science Consultants for its Lyon office.Guided by experienced consultants, you will be responsible for collaborating with our various practices to implement complex models that support our clients in addressing challenges related to:Machine Learning and Statistics: Development of explanatory and predictive decision-making models (supervised and unsupervised learning algorithms, econometrics, forecasting, quantitative diagnostics, ...)Operational Research: Assistance in the design and implementation of optimization solutions under constraints and simulation models.Big Data: Algorithmic knowledge for processing large volumes of structured and unstructured data.As part of the internal activities of the firm, your participation will revolve around the following axes:Development or enhancement of our offerings through training, working groups, dissemination of internal and external materials...Publication policy (sector blogs, studies, press releases...)Commercial development by contributing to the definition of needs and participating in commercial activities.

Mindrift connects mathematics and programming specialists with project-based AI consulting work for technology companies. This freelance role centers on designing and validating advanced computational mathematics problems, with a strong emphasis on Python programming and mathematical rigor. All work is remote and project-based, not a permanent position. Role overview As a Mathematics & Python Specialist, projects will involve: Designing original computational mathematics problems that reflect real mathematical research workflows Developing problems that require Python programming to solve, using libraries such as Numpy, SciPy, or Sympy Creating computationally intensive tasks that cannot be solved manually in a short period Formulating problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing tasks on real-world research challenges or practical mathematical applications Validating solutions using Python and recognized mathematical libraries Documenting problem statements clearly and providing verified answers Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also acceptable At least 2 years of relevant experience (applied, research, or teaching) Experience with numerical methods and symbolic computation Ability to design problems that reflect authentic mathematical research processes Knowledge of computational complexity theory Strong English writing skills at C1 level or above Project commitment During active project phases, expect to commit around 10–20 hours per week. Actual workload will depend on project needs and may vary. Compensation Contributors may earn up to $45 per hour, depending on expertise and pace. Compensation varies by project scope, complexity, and required skills. Application process To apply, submit your CV in English and specify your English proficiency level. The process includes application review, qualification steps, joining a project, completing assigned tasks, and receiving compensation.

Toloka AI is looking for a Computer Science Specialist with advanced Python skills to join AI projects on the Mindrift platform. This role is remote and based in Lyon, Auvergne-Rhône-Alpes, France. Key responsibilities Design and maintain complex algorithms that drive artificial intelligence projects Collaborate with a team focused on creative approaches to technical challenges Use Python expertise to move project objectives forward and support technical standards Requirements Solid foundation in computer science and strong Python programming skills Interest in artificial intelligence and developing algorithms Willingness to share ideas and maintain high standards for technical quality

We invite you to submit your CV in English, along with your English proficiency level.At Mindrift, we connect talented specialists with dynamic project-based AI opportunities from prominent tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based rather than permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in:Crafting rigorous Computer Science problems that reflect real-world practices;Assessing AI solutions for accuracy, underlying assumptions, and constraints;Validating calculations or simulations utilizing Python (NumPy, Pandas, SciPy);Refining AI reasoning to align with industry-standard logic;Implementing structured scoring criteria for multi-step problems;Collaborating with a global network of PhD professionals to uphold scientific integrity.Ideal Candidate ProfileThis role is suitable for Computer Science experts with Python experience interested in part-time, non-permanent projects. The ideal candidates will possess:A degree in Computer Science or a closely related field;Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is acceptable;A minimum of 2 years of professional experience, which can include applied, research, or teaching roles;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or practical projects are advantageous.Project Participation ProcessThe process involves applying, passing qualifications, joining a project, completing tasks, and receiving payment.Project Commitment ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on specific project needs. This is an estimate and does not guarantee a fixed workload.Compensation DetailsContributors can earn up to $50 per hour, based on their experience and contribution pace. Compensation may vary across projects depending on their scope, complexity, and required expertise. Please be aware that other projects may offer different compensation levels based on their requirements.

We invite you to submit your CV in English, including your proficiency level in English.At Mindrift, we specialize in connecting talented professionals with exciting project-based AI opportunities at leading tech firms. Our focus is on testing, evaluating, and enhancing AI systems. Note that this is a project-based role, not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may be tasked with:Creating original computational statistics problems that reflect genuine mathematical research workflows;Formulating problems that require Python programming for solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Designing problems that are computationally intensive, taking days or weeks to solve manually;Developing scenarios that demand complex reasoning across areas like number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in real research challenges or practical applications in mathematics;Validating solutions using Python and standard mathematical libraries;Clearly documenting problem statements and supplying verified correct answers.Ideal Candidate ProfileThis opportunity is well-suited for statistics experts with Python experience, open to engaging in part-time, non-permanent projects. We prefer candidates who have:A degree in Statistics or a related field;Proficiency in Python for numerical validation, with knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries considered equivalent;A minimum of 2 years of professional experience in applied research or teaching;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject CommitmentFor this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload.CompensationContributors may earn up to $50 per hour, contingent upon their level of expertise and the pace of their contributions. Compensation varies by project scope, complexity, and required skills, and other projects on the platform may offer different compensation rates.

We kindly request that you submit your CV in English and specify your level of English proficiency.At Mindrift, we connect talented specialists with exciting project-based opportunities in AI for top-tier tech companies, focusing on testing, evaluating, and enhancing AI systems. Please note that participation is on a project basis and does not constitute permanent employment.Opportunity OverviewEach project presents distinct challenges; however, contributors may be involved in the following tasks:Designing original computational physics problems that simulate authentic physics research workflows;Creating problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensuring the problems are computationally demanding and cannot be manually solved within a reasonable timeframe (days to weeks);Developing problems that require intricate reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real research challenges or practical applications from the field of physics;Validating solutions using Python with established physics simulation libraries;Thoroughly documenting problem statements and providing accurately verified solutions.Ideal Candidate ProfileThis opportunity suits physicists with Python experience who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching experience;Familiarity with numerical simulation methods;The ability to design problems that reflect real physics research workflows;Creative problem design skills across various physics domains;Understanding of physics modeling and approximation techniques;Strong command of written English (C1+ level).How the Process WorksApply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Project CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and does not guarantee a specific workload during the project's lifecycle.CompensationContributors can earn up to $45 per hour, contingent on their expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills. Please note that other projects on our platform may offer different earning potential based on their specific requirements.

Please submit your CV in English and specify your proficiency level in English.Mindrift specializes in connecting skilled professionals with project-based AI opportunities for top-tier technology companies, concentrating on the assessment, evaluation, and enhancement of AI systems. This role is project-based and does not entail permanent employment.Opportunity OverviewContributors to our projects may engage in a variety of tasks, including:Creating innovative computational physics problems that replicate authentic physics research workflows;Designing problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensuring that the problems are computationally demanding and cannot be solved manually within reasonable periods (days to weeks);Developing problems that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on real-world research challenges or practical applications within the field of physics;Validating solutions through Python using standard physics simulation libraries;Documenting problem statements clearly and supplying verified correct answers.Candidate ProfileThe ideal candidate will be a physicist with Python experience, interested in part-time, non-permanent projects. We seek individuals who possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming language is acceptable;A minimum of 2 years of relevant professional experience (applied, research, or teaching experience is applicable);Expertise in numerical simulation methodologies;The ability to design problems that reflect actual physics research workflows;Creative problem-solving skills across various fields of physics;Knowledge of physics modeling and approximation techniques;Strong written proficiency in English (C1 or higher).Application ProcessApply → Pass evaluations → Join a project → Complete tasks → Receive paymentProject CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on specific project demands. This estimate is not a guaranteed workload and applies solely while the project is ongoing.CompensationParticipants in this project can earn up to $45 per hour, contingent upon their skill level and pace of contributions. Compensation varies across projects based on scope, complexity, and required expertise. Please be aware that other projects on the platform may offer different earning potential based on their specific needs.

Role Overview sia is hiring a Data Science Consultant for the Lyon office. This role centers on working with clients to shape business strategies grounded in data analysis. Expect to work closely with client teams, helping them solve challenges using data insights. What You Will Do Analyze complex datasets to uncover trends and actionable insights Apply advanced statistical methods and machine learning techniques to real business problems Collaborate with clients to design and implement data-driven strategies Present findings and recommendations to stakeholders in clear, accessible language Location This position is based in Lyon.

Join Eurofins, a global leader in testing and laboratory services, as a Data Engineer (F/H) in our Lyon office. You will play a pivotal role in harnessing the power of data to drive insights and innovation within our organization. This position offers the opportunity to work with cutting-edge technologies and contribute to meaningful projects that impact public health and safety.

In light of our expansion, we are looking for a Data Engineer (H/F) to design and optimize data pipelines, ensuring reliable, efficient, and secure access to data. You will be involved in high-value projects within a stimulating technical environment.Your responsibilities will include:Designing robust data architectures (Data Lakes, Warehouses, etc.).Developing and automating data collection, transformation, and distribution pipelines.Optimizing the performance and scalability of processing systems.Ensuring the security, quality, and compliance of data (GDPR).Collaborating closely with Data Analysts, Data Scientists, and IT teams.Continuously monitoring technological advancements in tools and practices within the field.