Data & 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.    This job offer is accessible to all, regardless of gender.       Job title: Data & AI Engineer     Location: Paris, France Work Arrangements: Hybrid ( Monday, Tuesday, Wednesday onsite )     About the job   As a senior data & AI engineer within our Digital R&D team, you will help revolutionize how Sanofi discovers and delivers life-saving medicines through AI and digital innovation. Ready to get started?    Based in Paris, France, you will be part of a dynamic team driving Sanofi's digital transformation in R&D. We are building outstanding Digital R&D products that participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence. 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:     • Design and implement end-to-end data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments  • Develop and optimize data models with a focus on query performance and efficient workloads  • Collaborate with cross-functional teams to translate business requirements into technical solutions, defining clear interface contracts between data products and applications  • Ensure data quality, standardization, observability, and governance across systems, aligning with industry compliance standards and data privacy requirements  • Automate data ingestion processes 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 downstream applications  • Contribute to MLOps/AIOps practices including model deployment pipelines, model performance monitoring, and reproducibility of ML experiments in production environments  • Actively contribute to transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer review of code and technical documentation standards  • Provide technical guidance to team members, ensuring adherence to coding standards and best practices  • Coordinate project timelines and deliverables with cross-functional teams to ensure alignment with business goals    About you    Experience:   • Strong track record in designing and implementing data pipelines and data warehouse solutions in cloud environments   • Hands-on experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings   • Background working in cross-functional teams, translating business needs into technical solutions   • Experience working within compliance (e.g.: quality, regulatory, data privacy, GxP) and cybersecurity requirements   • Experience in the healthcare industry is a strong plus     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   • Strong experience with cloud platforms (AWS preferred) includi