Job Title: Lead Expert Data & AI Engineer – Manufacturing

Location: Barcelona, Spain
Join us as a Data Engineer Expert to design, maintain robust data pipeline and manage team, projects/initiatives ensuring seamless data integration and transformation. Collaborate with data modelers and business partners to drive impactful projects centered around our data. Elevate your career by mastering cutting-edge tools and technologies in a dynamic, innovative, and general environment as part of Manufacturing/Sustainability domain.
Your key responsibilities

Provide technical recommendations and evaluate project feasibility and workloads.
Design and implement efficient pipeline architectures for data ingestion, transformation, and storage.
Develop modular, efficient code for data transformation and integration, ensuring adherence to modern development practices.
Perform data ingestion from source systems, including ETL processes, when tables are not available on the data platform.
Conduct regular pipeline maintenance and upgrades,



troubleshooting and resolving issues to ensure optimal performance.
Implement data quality testing and validation to maintain high standards of data integrity and reliability.
Collaborate closely with other data engineers, data modelers, data stewards, BI developers, data scientists, and subject matter experts to ensure seamless data integration, knowledge sharing, and delivery of impactful solutions.
We offer

Unique career paths across health, nutrition and beauty, explore what drives you and get the support to make it happen
A chance to impact millions of consumers every day, sustainability embedded in all we do
A science-led company, cutting edge research and creativity everywhere, from biotech breakthroughs to sustainability game-changers, you’ll work on what’s next
Growth that keeps up with you, you join an industry leader that will develop your expertise and leadership
A culture that lifts you up. with collaborative teams, shared wins, and peo

📌 Lead Expert Data (Madrid)
🏢 dsm-firmenich
📍 Madrid