Data Engineer (M/W) - remote

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.
Accelerator Data & AI Engineer GenAI

Location: Hybrid: 60% office, 40% remote
We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.

We are building Digital R&D products developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence.

About Sanofi:

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Together, we chase the miracles of science to improve people’s lives.

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

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
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
Good knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred)
Master's degree in Computer Science, Engineering, or a related field

English

Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave
LI-Hybrid