OverviewAs a Data Engineer in Sanofi's Manufacturing & Supply Digital unit, you will help build the data foundations for an AI-first company, turning data into actionable insights to accelerate medicines and vaccines.

You'll work in cross-functional pods within the AI Factory, delivering scalable data products for data scientists, analysts, and business users.

You'll shape data pipelines and governance to enable rapid analytics, while contributing to a broad digital transformation across the organization.

This role offers meaningful impact through data-driven solutions that support patient outcomes.

Compensaciones / Beneficioshybrid work model integral impact mentorship and learning from leaders continuous growth and skills development inclusion and diverse perspectives competitive compensation

ResponsabilidadesPropose and establish technical designs aligning with business and technical requirements

Build, optimize and maintain data and ETL pipelines, ensuring production readiness

Gather and organize large, complex data assets and analyze them to unlock business value

Partner with business and product teams to translate needs into technical solutions

Promote best practices in code management, automated testing, CI/CD and deployments





Coach fellow data engineers and conduct peer reviews to ensure quality and rigor

Create clear documentation for knowledge transfer, training and maintenance

Contribute to the Data Engineering community by defining leading practices and frameworks

Communicate results clearly to stakeholders while upholding data quality, security and governance standards

Requisitos principales6+ Years of experience in data engineering, integration, data warehousing or BI

Life sciences or pharma experience is a plus

Spark/Scala, Informatica/IICS or dbt; Python and shell scripting; strong SQL and data modeling

Cloud data platforms (Snowflake is a plus); orchestration tools (Airflow is a plus); GitHub is a plus

Experience with batch, near real-time and streaming data ingestion; knowledge of data warehouse concepts (data mesh is a plus)

Bachelor's degree or equivalent in Computer Science, Engineering or related field

Fluent English; other languages a plus

Pragmatic problem-solver with technical intuition

Service-oriented, approachable team player

Clear communicator with peers and leaders

Spark/Scala

Informatica/IICS or dbt

Python

📌 Data & Ai Engineering Specialist (Barcelona)
🏢 Sanofi
📍 Barcelona