Data Engineer (Microsoft Fabric)

Wealth Management | 12-Month Contract | £500-600/day We are partnering with a rapidly expanding, PE-backed Wealth Manager. The business has scaled significantly over the last few years, increasing its AUM following a series of successful acquisitions. Historically, their data environment has been managed by an application development team. They are now separating their data capability to build out a dedicated, specialised data engineering function. Key Responsibilities: This role sits between establishing modern data platform architecture and driving execution for a business-critical BAU acquisition integration programme. • Design and embed a scalable, layered Lakehouse data architecture within Microsoft Fabric. • Own the automated ingestion, complex transformation, and validation of large incoming financial datasets (transactions, portfolios, and valuations). • Drive the adoption of core software engineering disciplines into the data space, including version control and robust CI/CD deployment pipelines. • Partner with Middle Office and Finance stakeholders to build optimised semantic models, enabling trusted self-service analytics via Power BI. • Establish data quality controls, automated alerting, and clear metadata/data lineage tracking to ensure all reporting remains fully auditable. Your Background: • Experience within Wealth/Asset Management is critical. • Deep, hands-on experience building production-grade data pipelines within Microsoft Fabric and Azure ecosystems. • Highly proficient in writing performance-tuned SQL and utilising Python for data processing, automation, and testing. • While very engineering-focused, having an understanding/background in data analysis will be highly beneficial as you will be working cross-functionally; understanding how front-end users interact with data models. • Experience handling financial datasets (investment transactions, portfolio data, operational finance). This is a very dynamic role within a highly successful organisation, with the potential to make a huge impact in this firm’s quest to build out its data capabilities.