Accelerator Data & AI Engineer GenAI (Paris)

Paris

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 Data & AI Engineer GenAI

  • Location: Paris, France
  • Hybrid: 60% office, 40% remote
  • Permanent, Fulltime

About the job

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. 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. 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 communication skills to work with both technical and business stakeholders

Education:

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

Languages:

  • English

Why choose us?

  • We provide a highly collaborative environment, with an opportunity to work with a world class team
  • 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
  • Bring the miracles of science to life alongside a supportive, future-focused team
  • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally
  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
  • 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
  • Play an instrumental part in creating best practice within our manufacturing facility

Pursue Progress . Discover Extraordinary

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

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Publié le 2026-04-09

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