Data Engineer – Microsoft Fabric

Intelligent Talent; Birmingham; Hybrid; GBP 55,000 - 65,000; Full time

Benefits offered by this job

10% annual bonus

7% employer pension contribution

Private Medical Insurance

Income Protection

Job summary

Intelligent Talent is hiring a Data Engineer to help migrate an enterprise data platform to Microsoft Fabric, taking ownership of design, development and production support. You’ll work on Fabric, Power BI, SQL and Azure data services, building data pipelines and API integrations, with CI/CD and production deployments.

Hybrid role based in the UK (Birmingham preferred; London/Reading/Leeds also considered) offering £55,000-£65,000, 10% bonus, 7% pension, private medical insurance and income

Qualifications

• Hands-on Fabric experience in current or most recent role.
• Experience with production data solutions in a regulated environment preferred.
• Strong SQL, data modelling and Azure data platform knowledge.
• Power BI experience in a data engineering context.

Responsibilities

• Build and optimise data pipelines across Fabric components (Lakehouse, Warehouse, OneLake).
• Develop ETL/ELT processes and integrate APIs.
• Maintain production deployments and investigate issues.
• Collaborate with engineers and stakeholders in a regulated financial services setting.

Skills

Microsoft Fabric

Power BI

SQL

Data modelling

ETL/ELT

Azure data platforms

API integrations

Git

CI/CD

Production deployments

Job description

Data Engineer - Microsoft Fabric

£55,000-£65,000 + 10% bonus + 7% pension + benefits

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
• Data modelling
• Azure Data Lake
• 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
• Azure data platforms
• 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

£55,000-£65,000 basic salary

10% annual bonus

7% employer pension contribution

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.