Key skills
PySparkPythonSparkSQLData EngineeringAnalyticsBIDatabricks
About this role
Role Overview
- Help design, build, and evolve our Microsoft Fabric-based global data platform
- Develop reusable engineering standards, templates, and governed data objects
- Embed security, access control, GDPR/PII handling, lineage, and metadata requirements into platform delivery
- Mentor colleagues and support the modernization and deprecation of legacy BI/DW solutions
Requirements
- Senior-level data engineering experience with strong hands-on delivery, architectural understanding
- Strong SQL and Python skills
- Microsoft Fabric experience or transferable lakehouse expertise from Databricks, Spark, PySpark, or Delta Lake
- Experience with production-grade data pipelines, medallion/lakehouse architecture, analytical data modeling
- Good understanding of data governance, metadata, lineage, access control, GDPR, and PII handling
- Collaborative mindset, with the ability to create reusable patterns and translate business and analytical needs into scalable technical solutions
Tech Stack
- PySpark
- Python
- Spark
- SQL
Benefits
- Support your customers by improving their clinical practice
- Help build the platform many data engineers wish they could build from the start: scalable, secure, automated, metadata-driven
- Join an enabling analytics team with a clear ambition: to make data more accessible, reusable, and reliable across the business