Data and AI Engineer

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail.  Job Title: Data & AI Engineer • Location: Lyon, France • Work Arrangements: Hybrid ( Monday, Tuesday, Wednesday onsite ) About the job As a Data & AI Engineer within our Data team of Sanofi's Manufacturing & Supply Chain department, you will contribute to revolutionizing how Sanofi delivers life-saving medicines through data, AI and digital innovation. Your solid experience will be valuable in implementing and optimizing our data solutions. Ready to apply your skills to meaningful challenges?  Based in Lyon, France, you will be part of a dynamic team driving Sanofi's digital transformation in manufacturing. Our Manufacturing & Supply Chain Data team is implementing cutting-edge technologies that make Sanofi's factories smarter, safer, and more efficient. Join the first biopharma company powered by AI at scale, where your expertise will directly impact how we deliver treatments to patients worldwide.  About Sanofi: We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. Main responsibilities: • Own delivery of defined data pipeline workstreams that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.  • Develop, tune, and refactor data models with a focus on query performance, workload efficiency, and maintainability.  • Partner with cross-functional teams to turn business requirements into technical solutions and delivery plans.  • Implement data quality checks, apply governance standards, and drive clear remediation paths for quality issues.  • Operate automated data ingestion, observability, and monitoring systems to track operational KPIs, troubleshoot issues, and improve pipeline health.  • Build, maintain, and improve ETL processes and machine learning workflows, providing clean AI ready data for applications and downstream products.  • Apply and share data engineering practices through design patterns, CI/CD integrations, containerized deployments, code reviews, and technical documentation.  ​ About you Experience :  • Experience owning delivery of data pipeline workstreams and data warehouse solutions in cloud environments.  • Hands-on experience improving data models, ETL/ELT processes, and pipeline orchestration in production settings.  • Experience partnering with cross-functional teams to shape technical solutions and delivery plans.  Technical Skills:   • Confident SQL skills on modern data warehousing platforms (Snowflake preferred), including performance-aware design.  • Hands-on experience building and improving ETL/ELT pipelines (IICS or equivalent), data transformation models (dbt preferred), and Python data processing components.  • Experience operating cloud data services (AWS preferred) and orchestration frameworks (Airflow preferred) for production workflows.  • Practical DevOps and DataOps experience, including CI/CD (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred).  • Ability to choose and apply engineering patterns and technical standards for defined workstreams.  Soft Skills:   • Owns delivery of defined data engineering workstreams with sound judgment, accountability, and attention to operational quality.  • Partners confidently with cross-functional stakeholders to shape practical technical solutions