A hands-on data engineering role at Sanofi in Barcelona: build, optimize, and own end-to-end data pipelines, backend services, and Snowflake-based data systems supporting R&D, manufacturing, and commercial analytics, while mentoring junior engineers. Core stack: Python, PySpark, Snowpark, Snowflake, FastAPI, and AWS.
OverviewLa información a continuación detalla los requisitos del puesto, la experiencia esperada del candidato y las cualificaciones correspondientes.
In 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 global health leader and contribute to faster, data-driven decision making.
Responsabilidades- Design 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 principales- 5+ 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 xkdbapo 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