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Sanofi

Accelerator Data & AI Engineer (Lyon)

On site

Lyon, France

Full Time

03-11-2025

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Skills

Communication Leadership Python SQL Data Warehousing Data Engineering Risk Management GitHub CI/CD Monitoring Version Control Problem-solving Training Effective Communication Machine Learning git Organization AWS cloud platforms Snowflake ETL Processes Terraform Infrastructure as Code GitHub Actions

Job Specifications

Le contenu du poste est libelle en anglais car il necessite de nombreuses interactions avec nos filiales a l'international, l'anglais etant la langue de travail.
This job offer is accessible to all, regardless of gender.
Job title : Accelerator Data & AI Engineer
Location: Lyon, France
Hybrid: 3 days onsite, 2 days off site
About the job
As a data engineering expert within our Digital Manufacturing & Supply Accelerator team, you will help revolutionize how Sanofi delivers life-saving medicines through AI and digital innovation. Ready to get started?
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 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 :
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
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
Why choose us?
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
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
Join a workplace where diversity, equity, and inclusion are at the core, with Employee Resource Groups and leadership programs that celebrate every voice
Drive meaningful change in a streamlined, AI-powered organization that values smart, modern ways of working
Collaborate with curious minds across borders, functions, and cultures in a fast-paced, purpose-driven environment
Stay at the forefront of tech, with access to training programs and industry certifications, as well as excellent opportunities for progression
Work in a safe, responsible environment guided by RAISE - our strategy for balancing digital innovation with the right level of risk management for every AI system
Pursue Progress . Discover Extraordinary .
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the wor

About the Company

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Interactions with this account must comply with the Terms:... Know more