Data & AI Engineer

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This job offer is accessible to all, regardless of gender.

Job title: Data & AI Engineer

● Location: Paris, France

● Hybrid

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:

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• 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 our applications.
  
• Lead and promote transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, also actively participate in peer review of code and technical documentation standards.
  
• Mentor team members and contribute to the team's technical growth through knowledge sharing and guidance.
  

About you

Experience:

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• Proven 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
  
• This role typically requires the depth of expertise gained through eight or more years of relevant experience. Candidates who can demonstrate equivalent skills and capabilities are also encouraged to apply
  

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).

● Advanced 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 communication skills to work with both technical and business stakeholders.

Education:

Master's degree in Computer Science, Engineering, or a related field.

Languages:

English is mandatory

What we offer you:

A fixed salary over 12 months, supplemented by a short-term incentive,as well asa collective variable compensationbased on Sanofi Group results.

Because taking care of our employees is also our mission:

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• Benef