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Senior Data Engineer - UK

CluePoints
1 day ago
Full-time
On-site
United Kingdom
Data Engineer
Description

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
This role sits within our internal Data & Analytics team, helping leadership make data-driven decisions as CluePoints continues to scale. You'll join a small, high-impact team building and evolving our enterprise data platform, integrating data from business systems into our Azure data warehouse and creating trusted datasets that power Power BI reporting across Sales, Marketing, HR, Finance and Professional Services.
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.


Requirements

  • 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.
Nice to Have
  • 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.