Data & AI Engineer

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. 

Data & AI Engineer

Location: Lyon, France

Work Arrangement: Hybrid (Three days from office and two days from home)

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, observability 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

• 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-paced environment.
• Effective communication skills to work with both technical and business stakeholders.

Education: Bachelor's degree (Engineering or Master's preferred) in Computer Science 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.