Evinova is seeking a passionate and experienced Data Foundation Engineering Lead to guide in the transformation of our platform-wide data foundation to enable our products, data science, and agents to deliver category leading capabilities. Join us in leveraging cutting-edge technology, data, and AI to revolutionize life sciences and improve billions of lives globally. In this pivotal role, you will design, implement, and optimize robust cloud-based data lakehouse infrastructure and operational frameworks that enable rapid innovation and deliver exceptional system reliability. You will be one of the senior-most engineers within the team; expected to be hands on, guide, and mentor the team. You will need to share your expertise in cloud data infrastructure, automation, and best practices with the whole of Evinova.



Key Responsibilities Infrastructure Design & Management:

- AWS Data Services: Deep hands-on experience with Lake Formation, Glue (ETL + Catalogue + Schema Registry), Athena, and at least one of EMR / Redshift Serverless. You understand how these compose, not just how each works in isolation.
- Open Table Formats: Production experience with S3 Tables, Apache Iceberg (preferred), or Delta Lake. You understand partition evolution, schema evolution, time travel, and compaction — and when each matter.
- Streaming: Built production streaming pipelin]]>

📌 Data Foundation Engineering Lead - Evinova (Barcelona)
🏢 AstraZeneca España
📍 Barcelona