OverviewIn this Data Engineering Specialist role, you will support Sanofi's digital and data transformation by ensuring robust data pipelines for advanced analytics, AI and ML initiatives.

You will work within a cross-functional environment to design, implement and optimize backend data systems, pipelines and APIs that underpin R&D;, manufacturing and commercial performance.

You'll mentor junior colleagues and own end-to-end pipeline lifecycle, from ingestion to deployment.

This is a hands-on opportunity to shape scalable data platforms at a integral health leader and contribute to faster, data-driven decision making.

ResponsabilidadesDesign technical solutions aligned with data architecture and standards

Mentor and train junior team members

Own back-end application components including data ingestion, transformation and orchestration of pipelines

Tune queries on Snowflake and related DB techniques

Optimize ETL/data pipelines for performance and operational needs

Identify and resolve data pipeline issues to maintain timely execution

Assist in technical discovery and CI/CD setup with automated tests

Develop and manage microservices using Python

Conduct peer reviews for production-grade quality

Design scalable architecture for high-concurrency usage





Promote best practices for code management, testing, and deployments

Own full product lifecycle: design, development, testing, deployment, operation and support

Requisitos principales5+ years of experience in backend, integration, data pipelining, and infrastructure

Bachelor's degree in computer science, engineering, or similar quantitative field

Expertise in database optimization and performance improvement

Expertise in Python, PySpark, Snowpark

Experience with Snowflake and PostgreSQL and writing efficient SQL queries

Experience with cloud-based data platforms (Snowflake, AWS)

Proficiency in Python APIs using FastAPI

Understanding of data structures and algorithms

Experience with modern testing frameworks (SonarQube, K6)

Strong collaboration skills for cross-functional integration

Knowledge of DevOps practices and tools (containers, Kubernetes, Argo, OpenShift

- Terraform
- CloudWatch, Grafana
- JFrog Artifactory
- GitHub actions)

Experience with JIRA &

- Confluence

Fluent English (written and verbal)

strong collaboration willingness to work across teams problem solving

Python

PySpark

Snowpark

📌 Data Engineering Specialist - Barcelona
🏢 Sanofi
📍 Barcelona