About the job

As Data Engineer within our Digital Corporate team, you’ll help build the data infrastructure that powers Sanofi’s AI-driven transformation – turning complex data into actionable insights that accelerate science and improve patient outcomes. Ready to get started?

Join the digital engine driving Sanofi’s transformation – where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.

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, develop, and maintain robust data engineering solutions and pipelines using modern tools and technologies.
Optimize ETL processes and data pipelines to balance performance, functionality, cost, and operational requirements.
Collaborate with business and product teams using Agile methodology to translate high-level requirements into technical solutions.
Develop automated tests and support CI/CD pipeline implementation.
Create comprehensive design and development documentation for knowledge transfer, training, and maintenance.
Support production Data Objects and ensure ongoing data quality and reliability.

About you

Experience: Professional background in data engineering, integration, data warehousing, business intelligence, or analytics, with hands-on experience using technologies such as Snowflake and Informatica/IICS (or equivalent).
Technical skills:Experience with Big Data integration and cloud-based platforms (AWS, Snowflake)
Proficiency in data structures, algorithms, and core data science languages (Python).
Experience with large data sets, performance tuning, and query optimization.
Familiarity with job scheduling and orchestration tools (Airflow is a plus).
Soft skills: Strong communication and presentation abilities with excellent attention to detail; collaborative team player comfortable working independently in a multicultural environment; adaptable learner who embraces new technologies and challenges.
Education: Bachelor’s Degree or equivalent in Computer Science, Engineering, or a relevant field
Languages: Fluency in English