Hybrid Data & AI Engineer — Lyon

Sanofi Group; Lyon; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Quality health insurance

Remote work up to 2 days/week

Public transport coverage up to 80%

Group Savings Plan

Internal and international mobility

Training & certifications

Job summary

Sanofi Group in Lyon is seeking a Data & AI Engineer to own delivery of data pipelines and data warehousing in cloud environments, turning raw data into actionable insights. You will build and refine data models, collaborate with cross-functional teams, and enforce data quality and governance.

The role requires strong SQL (Snowflake preferred), Python, and experience with ETL/ELT, Airflow, and CI/CD in a cloud setting. Hybrid work with on-site days and international digital initiatives.

Qualifications

• Experience owning delivery of data pipeline workstreams and data warehouse solutions in cloud environments.
• Hands-on experience improving data models, ETL/ELT processes, and pipeline orchestration in production settings.
• Experience partnering with cross-functional teams to shape technical solutions and delivery plans.
• SQL skills on modern data warehousing platforms (Snowflake preferred), including performance-aware design.
• Hands-on experience building and improving ETL/ELT pipelines (IICS or equivalent), data transformation models (dbt preferred), and Python data processing components.
• Experience operating cloud data services (AWS preferred) and orchestration frameworks (Airflow preferred) for production workflows.
• Practical DevOps and DataOps experience, including CI/CD (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred).
• Ability to choose and apply engineering patterns and technical standards for defined workstreams.

Responsibilities

• Own delivery of defined data pipeline workstreams that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.
• Develop, tune, and refactor data models with a focus on query performance, workload efficiency, and maintainability.
• Partner with cross-functional teams to turn business requirements into technical solutions and delivery plans.
• Implement data quality checks, apply governance standards, and drive clear remediation paths for quality issues.
• Operate automated data ingestion, observability, and monitoring systems to track operational KPIs, troubleshoot issues, and improve pipeline health.
• Build, maintain, and improve ETL processes and machine learning workflows, providing clean AI ready data for applications and downstream products.
• Apply and share data engineering practices through design patterns, CI/CD integrations, containerized deployments, code reviews, and technical documentation.

Skills

SQL

Data pipelines

Python

ETL/ELT

Data modeling

CI/CD

Git

Cloud

Airflow

dbt

Education

Bachelor's or Master's in Engineering/CS

Tools

IICS

Snowflake

Terraform

GitHub Actions

Airflow

Job description

Sanofi Group in Lyon is seeking a Data & AI Engineer to own delivery of data pipelines and data warehousing in cloud environments, turning raw data into actionable insights. You will build and refine data models, collaborate with cross-functional teams, and enforce data quality and governance.

The role requires strong SQL (Snowflake preferred), Python, and experience with ETL/ELT, Airflow, and CI/CD in a cloud setting. Hybrid work with on-site days and international digital initiatives.