Data Engineer

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We are looking for a talented Data Engineer + Full Stack Developer to help drive the next phase of Project Helios—our bespoke web application and data platform. This is a pivotal, cross-functional role where you’ll shape and implement our data strategy, working at the intersection of data engineering, cloud infrastructure, and full-stack development.

You’ll enhance data ingestion pipelines, build scalable data models, and ensure seamless integration into both Power BI and our React/Next.js web application. Collaborating closely with our Group Data and Technology Lead, you’ll help centralise client, revenue, and review workflows—powered by Microsoft Fabric and Azure.

Key Responsibilities

Data Platform Development

• Design and maintain scalable ETL/ELT pipelines using Azure Data Factory and Synapse.
• Model and store data using Delta Lake / OneLake, with governance and lineage via Microsoft Purview.
• Integrate third-party APIs (e.g. Intelligent Office, AJ Bell, Transact) into the platform.

Full-Stack Integration

• Collaborate with frontend/backend teams to expose transformed data via NestJS APIs.
• Embed Power BI datasets and visualisations into React/Next.js UI components.
• Troubleshoot and resolve issues across data pipelines and application layers.

Cloud, DevOps & Governance

• Contribute to CI/CD pipelines using Azure DevOps, Docker, and Git.
• Document architecture, data flows, and technical processes across the stack.
• Partner with analytics, architecture, and engineering teams to enhance data-driven product experiences.
• Continuously improve ingestion, modelling, and integration processes within the Microsoft Fabric ecosystem.

What We’re Looking For

Technical Expertise

• Proficient in React, Next.js, NestJS, and Node.js.
• Strong experience in data orchestration, modelling, and integration into web applications.
• Hands-on with Microsoft Fabric (Pipelines, Lakehouse, Warehouses) and Azure services.
• Skilled in SQL (T-SQL preferred) and either Apache Spark or Python for data engineering.
• Experience embedding Power BI dashboards into web applications.
• Familiarity with data governance tools like Microsoft Purview and security best practices.

Experience & Qualifications

• Proven experience in combined full-stack and data engineering roles.
• Proven track record of delivering integrated, data-driven applications.
• Experience with Microsoft Azure (essential); Financial Services or Wealth Management background would be an advantage.

Personal Attributes

• Strong collaboration and communication skills.
• A “data meets product” mindset with excellent problem-solving ability.
• High attention to detail and personal integrity.

What’s In It For You?

• 28 days holiday + bank holidays
• Flexible hybrid working
• Early Friday finish at 2:15pm
• Birthday day off
• Income protection (up to 5 years)
• 4x salary death-in-service cover
• Access to the Radiant Academy for career development
• Performance-based bonus scheme

Please note: All applicants must be willing to undergo background screening, including police and bankruptcy checks.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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