Design, build, and govern cloud-based data platforms that turn heterogeneous, multi-country life-sciences data into trusted, reusable data products.

The role spans clinical trial data, real-world data (RWD), and omics — harmonising these into standardised, regulatory-grade, analysis-ready assets. Combines hands-on engineering on Azure and Databricks with technical leadership of a multidisciplinary team.

Requirements

Required (Must-Have)

• 8+ years in data engineering, with substantial Life Sciences / pharmaceutical experience.
• Proven delivery of cloud data platforms on Azure and Databricks; familiarity with Microsoft Fabric.
• Strong proficiency in Python and SQL, plus ETL/ELT orchestration (Azure Data Factory).
• Hands-on experience with CDISC standards (SDTM, ADaM) and clinical data workflows.
• Relational and non-relational stores: SQL Server, PostgreSQL, MongoDB.
• Data governance, ...