Jobs / France / Sanofi US Services INC
Data & AI Engineer
Sanofi US Services INC · 🌍 Paris
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About the role
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 data & AI engineer within our Digital Commercial Accelerator team, you will support efforts to revolutionize how Sanofi delivers life-saving medicines through data, AI and digital innovation. This role offers an excellent opportunity to develop and improve your expertise while contributing to impactful projects. Ready to grow your skills in a dynamic environment? Based in Paris, France, you will be part of a dynamic team driving Sanofi's digital transformation in commercial. Our Digital Commercial Accelerator is implementing cutting-edge technologies, making our business smarter 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: • 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. • Enforce 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 our applications. • Actively contribute to transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, also participate in peer review of code and technical documentation. 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. Experience working in cross-functional teams, translating business needs 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. Strong experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred). Strong experience with Generative AI technologies and best practices (e.g. Vector Databases). Good knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred). Experience in designing and implementing 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 com