As a Data Engineer within Sanofi's Manufacturing & Supply Digital organization, you'll help build the data foundations of an AI-first company, turning data into the insights that bring medicines and vaccines to patients faster. Sanofi is on an ambitious digital transformation journey, and accelerating data, AI and machine learning is at its core. You'll work in cross-functional pods within our AI Factory, combining data management, AI and product development skills to design globally scalable solutions. You'll make key datasets available to data scientists, analysts and business users across the enterprise. We are a general biopharmaceutical company focused on human health, committed to chasing the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life‐saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. 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 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

Experience:
6+ Years of experience in data engineering, integration, data warehousing or business intelligence, working in cross-functional teams on complex data architecture challenges. 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) Service‐oriented, approachable team player who communicates ideas clearly to peers and leaders and thrives in a fast‐paced, agile environment Bachelor's degree or equivalent in Computer Science, Engineering or a related field Fluent English (other languages are a plus) Global impact: Learn from renowned leaders and academics in machine learning Agile, collaborative culture: LI‐Hybrid #BarcelonaHub #SanofiHubs #

📌 Data & AI Engineering Specialist (Bellprat)
🏢 Sanofi Group
📍 Bellprat