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.
Job 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.
- 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.
Job responsibilities
- 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.
Benefits
🇬🇧 What We Offer – United Kingdom
- Private Medical Insurance through Vitality Health (full hospital cover, 24/7 GP, and therapy sessions)
- Group Critical Illness Cover with Aviva
- Life Insurance (death-in-service lump sum)
- Pension Scheme with 9% employer contribution via Scottish Widows
- Opportunities for professional development and sponsored certifications
- A hub-based hybrid model that blends flexibility with purpose — connecting teams through collaboration, learning, and a vibrant social culture.
🇬🇧 Equal Opportunities & Data Protection StatementCluePoints is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants.
We welcome applications from all individuals regardless of age, disability, gender identity or expression, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
Any personal data you share during your application will be processed in accordance with the UK GDPR and the Data Protection Act 2018 and will be used solely for recruitment purposes.
By submitting your application, you consent to the processing of your data for recruitment and employment purposes.
At CluePoints, we believe that diverse teams make better decisions and drive innovation. We’re committed to building a workplace that reflects the communities we serve and where everyone can thrive.
Skills Required
- 8+ years of hands-on data engineering and enterprise data warehousing experience, including senior or lead-level responsibility
- Substantial production experience with Microsoft Fabric, including at least one end-to-end implementation, modernization, or migration
- Deep Kimball dimensional modeling expertise with examples of gold-layer design for cross-departmental reporting
- Strong experience with Azure Data Factory, Azure SQL, Azure DevOps, Azure Key Vault, and web or SaaS integrations
- Advanced T-SQL and Python and/or PySpark experience for scalable, testable, instrumented pipelines
- Ability to work closely with analytics teams and translate business questions into engineering work
- Microsoft Fabric Data Engineer Associate, Fabric Analytics Engineer Associate, or relevant Azure certifications
- Experience with Microsoft Purview, Fabric administration, capacity management, OneLake shortcuts, or mirroring
- Infrastructure-as-code experience using Bicep, Terraform, PowerShell, or Fabric/Azure APIs
- Experience building internal analytics warehouses in a fast-growing SaaS business
What We Do
CluePoints provides pharmaceutical companies and contract research organizations (CROs) with technology for identifying, visualizing, managing, and documenting risks that could affect clinical-trial outcomes. Its mission is to give clinical research organizations a better way to oversee risk, helping them recognize, assess, and document potential problems that might undermine trial success and strengthen the quality and reliability of clinical-trial decision-making.
