Senior Data Engineer - UK

CluePoints; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private medical insurance

Critical illness cover

Life insurance

Pension with employer contribution

Certifications sponsorship

Hybrid work model

Job summary

CluePoints is seeking a senior data engineer to join the Data & Analytics team in London on a hybrid basis. You’ll help build and evolve the enterprise data platform, integrate data from business systems into the Azure data warehouse, and power Power BI reporting across Sales, Marketing, HR, Finance and Professional Services.

You’ll work with Azure Data Factory and Microsoft Fabric, leading the migration of Data Warehouse workloads, and coaching a small analytics team toward scalable,

Qualifications

• 8+ years hands-on data engineering and enterprise data warehousing experience.
• End-to-end Microsoft Fabric implementations, modernisation, or migrations.
• Deep Kimball dimensional modelling expertise with gold-layer design for cross-departmental reporting.
• Strong Azure stack experience: Azure Data Factory, Azure SQL, Azure DevOps, Key Vault, and SaaS data integration.
• Advanced T-SQL with Python and/or PySpark for scalable pipelines.
• Ability to translate business questions into engineering solutions in a small analytics team.

Responsibilities

• Design and build scalable data solutions in Microsoft Fabric including OneLake, Lakehouse and Warehouse.
• Lead phased migration and modernisation of Azure SQL warehouse and ADF workloads to Fabric.
• Ingest data from web and SaaS sources and land it reliably in the warehouse.
• Create reusable ingestion and transformation patterns with CDC and reconciliation in production.
• Own Kimball gold layer to support semantic models and reports for Analysts.
• Establish Git-based CI/CD, data quality checks, lineage, security, and monitoring across Fabric and Azure components.
• Collaborate with Director of Data & Analytics and Senior Data Analyst to shape engineering standards.

Skills

Data engineering

Kimball dimensional modelling

T-SQL

Python

PySpark

Azure DevOps

Azure SQL

Tools

Azure Data Factory

Microsoft Fabric

Azure SQL

Power BI

Azure DevOps

Job description

Job 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.

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.

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.

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.

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.

Job Benefits

• 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 Statement

CluePoints 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.