- Help design and implement data pipelines that transform raw data into valuable insights, while learning about scalability and reliability in cloud environments.
- Develop data models with a focus on query performance and efficient workloads.
- Work with cross‑functional teams to translate business requirements into technical solutions.
- Implement data quality checks and follow governance standards.
- Use 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.
- Follow and apply data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer reviews of code and technical documentation.
- Experience in implementing data pipelines and data warehouse solutions in cloud environments.
- Experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings.
- Working with cross‑functional teams to translate business requirements into technical solutions.
- Good 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.
- Familiarity 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).
- Capacity to implement engineering patterns and technical standards.
- 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.
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Accelerator Data & AI Engineer (Lyon) · Description de l'emploi · 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 o ...
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Accelerator Data & AI Engineer (Lyon) · Description de l'emploi · 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 o ...
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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 · Locati ...
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Accelerator Data - Lyon - Eacademy Sanofi
Description
Accelerator Data & AI Engineer (Lyon)
Job title
Data & AI Engineer
Location
Lyon, France
Work arrangement
Hybrid: 2 days off site and 3 days on site
About the job
As a data & AI engineer within our Digital Manufacturing & Supply 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 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
About you
Experience
Technical skills
Soft skills
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.
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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