> Markdown version of [/jobs/ext/424729-accelerator-data-ai-engineer-lyon](https://www.wearedevelopers.com/jobs/ext/424729-accelerator-data-ai-engineer-lyon). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Accelerator Data & AI Engineer (Lyon) - **Company:** Sanofi Groupe - **Location:** Lyon, France (Remote available) - **Salary:** €48,000.0 - €64,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Artificial Intelligence, Airflow, Amazon Web Services, Continuous Integration, Data Validation, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Software Design Patterns, Github, Monitoring of Systems, DataOps, SQL Databases, Cloud Platform System, Data Ingestion, Snowflake, Git, Kubernetes, Information Technology, Machine Learning Operations, Terraform, Software Version Control, Data Pipelines - **Published:** June 15, 2026 - **Apply:** https://sanofi.wd3.myworkdayjobs.com/en-US/SanofiCareers/details/Lyon/Accelerator-Data---AI-Engineer--Lyon-_R2859105 ## About the Role * Solid experience in implementing data pipelines and data warehouse solutions in cloud environments. * Strong experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings. * Experience working with cross-functional teams to translate business requirements into technical solutions. Technical Skills: * Strong proficiency in SQL and data warehousing platforms (Snowflake preferred). * Hands-on experience with ETL tools (IICS or equivalent), data transformation tools (dbt preferred) and Python for data processing. * Experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred). * Knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred). * Ability to implement engineering patterns and technical standards. Soft Skills: * Collaborative mindset with strong problem-solving abilities. * Self-motivated and able to take initiative in a fast-paced environment. * Effective communication skills to work with both technical and business stakeholders. Education: Bachelor's degree (Engineering or Master's preferred) in Computer Science or a related field. Languages: English is mandatory ## Description * Design and implement data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments. * Develop and fine tune data models with a focus on query performance and efficient workloads. * Collaborate with cross-functional teams to translate business requirements into technical solutions. * Implement data quality checks and follow governance standards. * Support and maintain automated data ingestion processes, observability and monitoring systems to track operational KPIs, troubleshoot issues, and maintain pipeline health. * Build and maintain ETL processes and machine learning workflows, providing clean AI ready data for our applications. * Apply and share data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer review of code and technical documentation. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Designing How Work Feels: The Science Behind Sanofi’s Workplace Experience](https://www.wearedevelopers.com/videos/1848-designing-how-work-feels-the-science-behind-sanofi-s-workplace-experience) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Best Companies to Work For in Paris: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/190-best-companies-to-work-for-in-paris-top-25-companies-in-2023) - [Best Companies to Work For in France: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/189-best-companies-to-work-for-in-france-top-25-companies-in-2023) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Average Salary in France](https://www.wearedevelopers.com/magazine/269-average-salary-in-france) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)