Data & AI Engineering Specialist

• Location: Barcelona, Spain About the Job 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. About Sanofi Sanofi is dedicated to supporting people through their health challenges. We are a global 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. At Sanofi, we believe our people are our greatest strength, and we are committed to creating an inclusive environment where diverse perspectives drive innovation. Our values—Aim Higher, Act for Patients, Be Bold, and Lead Together—guide everything we do. Main responsibilities • 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   About You • 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)     Why choose us? • Global impact: Your work will help bring drugs and vaccines to patients worldwide faster • Cutting-edge technology: Build products on a leading-edge tech stack, deployed globally • World-class mentorship: Learn from renowned leaders and academics in machine learning • Agile, collaborative culture: Work in versatile, cross