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: Accelerator Digital Data Engineer

• Location: Lyon, France
• Hybrid 3 day on site, 2 days WFH

About the job

As a Data Engineer within our Digital Manufacturing & Supply Accelerator team, you will contribute to revolutionizing how Sanofi delivers life-saving medicines through 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 Digital Manufacturing & Supply Accelerator is implementing cutting-edge technologies, making our factories 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 data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments
• Develop and fine tune data models with a focus on query performance and efficient workloads
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Implement data quality checks and follow governance standards
• Support and maintain automated 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
• Apply and share data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer review of code and technical documentation

About you

Experience:

• Solid experience in implementing data pipelines and data warehouse solutions in cloud environments
• Strong experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings
• Experience working with cross-functional teams to translate business requirements 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
• Experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred)
• Knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred)
• Ability to implement engineering patterns and technical standards

Soft Skills:

• Collaborative mindset with strong problem-solving abilities
• Self-motivated and able to take initiative in a fast-pace