Data Engineer – Microsoft Fabric & Azure

Data Engineer – Microsoft Fabric & Azure London | Hybrid working | £55,000–£65,000 + 8% bonus + 7% pension + 40 days' holiday Are you a Data Engineer working with Microsoft Fabric who enjoys building solutions but also wants to see how they perform once they're live?

We're recruiting for a UK wealth management business investing in its Microsoft data platform as it continues its transition from Azure Synapse to Microsoft Fabric. This is an opportunity to join a small, experienced data team where you'll have genuine ownership of your work, exposure to modern data technologies and the chance to develop your skills without needing to move into a leadership role.

The role You'll be working across the full lifecycle of data engineering solutions, from understanding requirements and developing pipelines through to deployment, production support and ongoing improvements. The environment is centred on Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory pipelines and notebooks, alongside Azure Data Lake, SQL Server and Power BI.

Your responsibilities will include

Building, maintaining and improving data pipelines using Microsoft Fabric and Azure. Developing ETL/ELT workflows, data models and transformations using SQL and Python/PySpark. Integrating data from internal systems and external sources, including APIs.

Monitoring production workloads, investigating failures and resolving underlying issues. Improving pipeline performance, reliability, data quality and operational efficiency. Supporting existing Azure Synapse workloads during the transition to Fabric.

Using Git, Azure DevOps and CI/CD to manage changes and deployments. Working with engineers, analysts and business stakeholders to deliver reliable data solutions. What we're looking for You'll already have commercial, hands-on Microsoft Fabric experience in your current or most recent role.

Importantly, we're looking for someone who has done more than simply help deliver a new platform. You'll understand the challenges of running data solutions in production, investigating problems and improving them as requirements change.

Ideally, you'll have spent at least 12 months working with Fabric in your current or most recent position, with responsibility for both development and ongoing support. You'll also bring: Strong SQL and data engineering skills.

Experience with Python and/or PySpark. Good understanding of ETL/ELT, data modelling and data quality. Experience with Fabric Lakehouse, pipeli...

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