Data Engineer – Microsoft Fabric

Intelligent Talent; Birmingham; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

10% annual bonus

Private Medical Insurance

Income Protection

Job summary

Intelligent Talent is seeking a hands-on Data Engineer for a UK Wealth Management client migrating from Azure Synapse to Microsoft Fabric. The role is Birmingham-based with hybrid working and occasional flexibility for London/Reading/Leeds.

You will build and support data pipelines, ETL/ELT processes, and BI assets using Fabric, Power BI, SQL Server, APIs, and Git/Azure DevOps. Past experience in highly regulated environments is preferred.

Qualifications

• Hands-on Fabric experience in a production environment.
• Deep knowledge of data engineering concepts (ETL/ELT, data modelling).
• Experience in regulated financial services environments is highly preferred.

Responsibilities

• Own data pipelines from design to production in Fabric-enabled platform.
• Develop and deploy production-ready data solutions, with CI/CD processes.
• Support and evolve solutions post go-live, handling production issues and optimisations.

Skills

Fabric

Power BI

SQL

ETL/ELT

APIs

Git

CI/CD

Data modelling

Production support

Tools

Azure Synapse

SQL Server

Azure DevOps

Job description

Birmingham | Hybrid

Also open to people based around London, Reading or Leeds

Building something in Microsoft Fabric is one thing. Staying around to support it, improve it and see how your decisions work in production is another.

That's the kind of experience we're looking for here.

A UK Wealth Management business is moving its enterprise data platform from Azure Synapse to Microsoft Fabric and is adding another hands‑on Data Engineer to the team.

This isn't a leadership role. You'll have experienced engineers around you, but you'll be trusted to take ownership of your own work: understanding the requirement, working through the technical problem, building the solution and getting it into production.

Just as importantly, you'll remain involved afterwards.

What you'll be working on

Microsoft Fabric is central to where the data platform is heading.

You'll work across:

• Microsoft Fabric, including Lakehouse, Warehouse and OneLake
• Building and improving data pipelines
• ETL/ELT
• Power BI
• SQL and SQL Server
• Internal and third-party API integrations
• Azure DevOps and Git
• CI/CD and production deployments
• Supporting existing Azure Synapse solutions during the transition

Synapse experience would be useful, but it isn't essential. The strategic direction is Microsoft Fabric.

What we're looking for

Microsoft Fabric and Power BI are both important requirements.

For Fabric specifically, you should be working hands‑on with it in your current or most recent role.

We're looking for more than exposure to a short implementation or migration project. You should have enough experience with Fabric to understand what happens after something goes live: supporting what you've built, investigating production problems, making improvements and evolving solutions as requirements change.

Ideally, you'll have developed that experience over a reasonable period of time. We're more interested in the depth and continuity of your Fabric experience than imposing an arbitrary number of years.

You'll also need a good grounding in Data Engineering across areas such as:

• SQL and data modelling
• ETL/ELT
• API integrations
• Git/source control
• CI/CD
• Building, deploying and supporting production data solutions

You'll need previous experience developing and deploying software or data solutions within a highly regulated environment. Financial Services experience is strongly preferred, particularly Wealth Management, Banking or Insurance.

Where AI fits

You don't need to be an AI or Machine Learning Engineer.

The business is increasing its investment in AI, including Azure AI Foundry and wider Microsoft AI technologies.

Some practical use of Copilot or another LLM within your engineering work would be useful, whether that's development, debugging, code validation or documentation. You'll have the opportunity to build on that exposure as AI becomes more integrated into the wider data environment.

Location and working arrangement

The role is open to people living within approximately one hour's commute of Birmingham, London, Reading or Leeds.

Current office attendance is typically at least two days per month in either Birmingham or London.

There is the potential for this to increase to up to three days per week in future, depending on business requirements, so you'll need to be comfortable with that before applying.

This means the current working pattern offers considerable flexibility, but the role shouldn't be viewed as permanently remote.

Package

10% annual bonus

Private Medical Insurance

Income Protection

If you're already working hands‑on with Fabric, can take ownership of your engineering work and have experience supporting what you've built once it's in production, I'm happy to give you the full context on the team, platform and plans.