Job Title: Lead Expert Data & AI Engineer - ManufacturingLocation: Barcelona, SpainJoin 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 global environment as part of Manufacturing/Sustainability domain.Your key responsibilitiesProvide 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 offerUnique career paths across health, nutrition and beauty, explore what drives you and get the support to make it happenA chance to impact millions of consumers every day, sustainability embedded in all we doA science-led company, cutting edge research and creativity everywhere, from biotech breakthroughs to sustainability game-changers,



you’ll work on what’s nextGrowth that keeps up with you, you join an industry leader that will develop your expertise and leadershipA culture that lifts you up.

It is essential to serve our customers well.You bringExpert knowledge in dbt, SQL, Python, Spark (PySpark), Git, Azure DevOps and Databricks.Expertise in cloud engineering (e.g., AWS, Azure); 5 years of experience in creating and maintaining data pipelines.Experience with FAIR data principles, data governance, and data standards commonly used in scientific domains.Ability to collaborate closely with data experts and SMEs to ensure seamless data integration and transformation.Consistent application of best practices in coding, testing and documentation, delivering scalable and reliable data solutions with automated quality checks and monitoring tools.to leverage data for smarter decision‑making.Strong focus on deployment development and automation, bringing hands‑on experience in designing, building and optimizing automated deployment pipelines across environments.While the role is technically oriented, leadership in team management, project oversight, and stakeholder engagement is a critical part of the position.Join our general team powered by science, creativity, and a shared purpose: to bring progress to life.Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.And if you have a disability or need any support through the application process, we’re here to help - just let us know what you need, and we’ll do everything we can to make it work.Department:IT

📌 Lead Expert Data & AI Engineer - Manufacturing (Barcelona)
🏢 dsm-firmenich
📍 Barcelona