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Senior Data Engineer - Microsoft Fabric

Intelligent Talent Solutions LtdDeritend, Birmingham🇬🇧United Kingdom

Quick overview

Salary£65k - £75k/yr
SeniorityMid Senior
Employment typeTemporary/Casual
Work modeHybrid
LocationDeritend, Birmingham, United Kingdom
SQLGitApache SparkETLPythonGenerative AIAzureAgileCI/CDAzure DevOps

Job description

Senior Data Engineer - Microsoft Fabric

Birmingham or London | Hybrid

£65,000–£75,000 + 10% annual bonus + 7% employer pension + private medical

Most data engineering roles are judged on what you ship. This one is just as much about what happens next: how your Microsoft Fabric solutions perform in production, how they hold up as demands grow, and how you keep making them better.

Intelligent Talent is working with a UK wealth management business that needs a Senior Data Engineer to take real technical ownership within its small Azure data team. The work combines evolving an established Fabric platform with greenfield development. You'll design and build production pipelines, models and integrations, get them live and keep improving them as the business grows around them. The business is also adopting AI, with Copilot and AI Foundry already in use.

It's a senior, hands-on role, based in Birmingham, with no line management. You'll make engineering decisions, deliver the work yourself and mentor the team's Data Engineer. You'll report to the Data Engineering Manager and work with the Data Product Manager, Enterprise Architect and Reporting Engineer to deliver data products that meet agreed requirements.

What you'll work on

The core environment is Microsoft Fabric (Lakehouse, Warehouse, OneLake, pipelines and notebooks) on a medallion architecture, alongside Python, PySpark and advanced SQL. You'll build and refine the pipelines, models and integrations that feed reporting, analytics and wider business data needs, including:

·Developing ETL/ELT and data processing workloads

·Connecting internal and third-party systems through APIs and SFTP

·Building automated testing, validation and data quality controls

·Resolving production incidents and dealing with their root causes

·Improving performance, reliability, scalability and cloud costs

·Raising standards in automation, observability and platform resilience

·Code reviews, CI/CD and controlled deployments using Git and Azure DevOps, in two-week Agile sprints

·Documenting solutions and controls to meet governance, privacy and security requirements

What you'll need

Hands-on Microsoft Fabric experience in your current or most recent role is essential.

Ideally you'll have spent at least a year in that role, long enough to have supported and evolved what you built rather than handing it over. We'd like to hear how your solutions performed after launch and what you changed to make them better.

You'll also have strong Python/PySpark and advanced SQL, a solid grasp of data modelling, orchestration and data quality, and real experience supporting production data workloads. An understanding of data governance, privacy and security matters here, as does experience mentoring other engineers. You'll be self-motivated, comfortable owning technical outcomes and able to communicate clearly with people who aren't engineers. Everyone in the business is expected to have a basic level of AI competence, so you should be comfortable using tools such as Copilot in your work.

Experience in wealth management, financial services or another highly regulated environment would be a real advantage.

Location and hybrid working

You'll be based from the Birmingham office, with London also available, and need to live within about an hour of either.

The team currently works together in the London or Birmingham office two days a month. Company policy is that everyone must be willing and able to work from the office up to three days a week if required, so you'll need to be comfortable with both.

You must have the right to work in the UK. Sponsorship isn't available.

The package

·£65,000–£75,000 basic salary

·10% annual bonus

·7% employer pension contribution

·Private medical insurance

·Income protection

Apply with your CV and notice period, or get in touch for a confidential conversation. We'll give you the full context on the business, the team and what you'd be working on.

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