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# Data & AI Engineering Specialist

- **Company:** Sanofi
- **Location:** Barcelona, Spain
- **Salary:** €49,600.0 - €74,400.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Automation of Tests, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Github, Python (Programming Language), Query Optimization, Cloud Services, Data Mesh, Standard Sql, Shell Script, Workflow Management Systems, Snowflake, Apache Spark, Information Technology, Software Version Control
- **Published:** October 31, 2026
- **Apply:** https://sanofi.wd3.myworkdayjobs.com/en-US/SanofiCareers/details/Barcelona/Data---AI-Engineering-Specialist_R2874556-1

## About the Role

* Experience: 6+ Years of experience in data engineering, integration, data warehousing or business intelligence, working in cross-functional teams on complex data architecture challenges. Life sciences or pharma experience is a plus

 * Technical skills: Spark/Scala, Informatica/IICS or dbt; Python and shell scripting; strong SQL, relational databases, data modeling and query tuning; cloud data platforms (Snowflake is a plus); orchestration tools (Airflow is a plus); source code management (GitHub is a plus). Familiarity with batch, near real-time and streaming ingestion and with data warehouse concepts (data mesh is a plus)

 * Soft skills: Pragmatic problem-solver with technical intuition and attention to detail. Service-oriented, approachable team player who communicates ideas clearly to peers and leaders and thrives in a fast-paced, agile environment

 * Education: Bachelor's degree or equivalent in Computer Science, Engineering or a related field

 * Languages: Fluent English (other languages are a plus)

## Description

* Propose and establish technical designs that meet business and technical requirements

 * Build, optimize and maintain data and ETL pipelines, making sure they are tested, validated and ready for production

 * 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, consistency and rigor

 * Create clear documentation to support knowledge transfer, training and maintenance

 * Contribute actively to the Data Engineering community, helping define leading practices and frameworks

 * Communicate results and findings clearly to stakeholders, while complying with data quality, security and governance standards