Senior Data Engineer - UK
Data Science
United Kingdom
At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster.
We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA.
At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way. Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.
This role is ideally on a hybrid basis, in London.
The Role
Built on strong Azure foundations—including Azure Data Factory, a bronze/silver/gold architecture and a recent transition to Microsoft Fabric—you'll help shape the next generation of our data platform, developing scalable engineering patterns that enable the business to grow with confidence.
- 8+ years hands-on data engineering and enterprise data warehousing, including senior or lead-level responsibility.
- Substantial production experience with Microsoft Fabric — at least one end-to-end implementation, modernisation, or migration you can walk through in detail.
- Deep Kimball dimensional modelling expertise, with real examples of gold-layer design for cross-departmental reporting.
- Strong Azure stack: Azure Data Factory, Azure SQL, Azure DevOps, Key Vault, and experience integrating web/SaaS sources.
- Advanced T-SQL plus Python and/or PySpark for scalable, testable, well-instrumented pipelines.
- Comfort working closely with a small analytics team and translating business questions into engineering work.
- Microsoft certifications: Fabric Data Engineer Associate (DP-700), Fabric Analytics Engineer Associate (DP-600), or relevant Azure certs.
- Microsoft Purview, Fabric administration, capacity management, OneLake shortcuts and mirroring.
- Infrastructure as code — Bicep, Terraform, PowerShell, or Fabric/Azure APIs.
- Prior experience building internal analytics warehouses inside a fast-growing SaaS business.
- Design and build scalable data solutions in Microsoft Fabric — OneLake, Lakehouse and Warehouse, Data Factory, Dataflows Gen2, notebooks, Delta, and T-SQL.
- Help lead the phased migration and modernisation of our Azure SQL warehouse and ADF workloads onto Microsoft Fabric.
- Source data from the web and SaaS systems used across Sales, Marketing, HR, Finance and Professional Services, and land it reliably in the warehouse.
- Build reusable ingestion and transformation patterns, incremental loading, CDC, and reconciliation you can trust in production.
- Own and evolve the Kimball gold layer so the Analyst has a clean, well-modelled foundation to build semantic models and reports on.
- Establish Git-based CI/CD, data quality checks, lineage, security, and monitoring across Fabric and related Azure components.
- Partner day-to-day with the Director of Data & Analytics and the Senior Data Analyst; help shape engineering standards as the function grows.