Data Engineer – Outside IR35 – London (Hybrid) – £400 a day

Job Title: Senior Data Engineer (Microsoft Fabric & Azure)
Contract: 6 Months Initial (Likely Extension)
Location: London (Hybrid – 2-3 days onsite)
Day Rate: Competitive
IR35: Outside IR35

The Role

We’re supporting a client in Leeds looking to appoint a Senior Data Engineer on a contract basis to support the design, build and evolution of a modern enterprise data platform, driving analytics, automation and AI-led insight across the business.

This role will play a key part in developing scalable data pipelines, data models and integration solutions using Microsoft Fabric, Azure Data Lake and Azure Synapse Analytics, while supporting a strategic migration to Fabric using a Medallion architecture approach.

You’ll work across data engineering, analytics and platform optimisation, integrating internal and third-party data sources, enabling business intelligence through Power BI, and contributing to predictive analytics and AI use cases.

Key Responsibilities

• Design, build and implement scalable data pipelines, models and analytics solutions in Microsoft Fabric
• Support migration from Azure Synapse Analytics to Fabric using Medallion architecture while maintaining the existing production environment
• Integrate multiple internal and third-party data sources via APIs into the enterprise data platform
• Design, develop and optimise ETL workflows, including transformation, validation and loading processes
• Develop solutions using SQL, Python, PySpark and Spark SQL to transform and enrich data
• Support storage and processing of large datasets within Azure Data Lake and Fabric
• Automate upstream and downstream workflows using Power Automate and Power Apps
• Develop and manage dashboards and reporting solutions in Power BI
• Support predictive analytics and use of Machine Learning tools and models
• Use AI tools to support build and release processes while maintaining ownership of the underlying codebase

Skills & Experience

We’re looking for experience across some or most of the following:

• Strong data engineering experience within Azure environments
• Hands-on expertise with Microsoft Fabric
• Experience with Azure Synapse Analytics and Azure Data Lake
• Strong ETL and data integration experience
• Advanced SQL skills
• Python, PySpark and Spark SQL expertise
• Strong Power BI experience
• API integration experience
• Exposure to Power Automate and Power Apps
• Experience with AI / predictive analytics would be beneficial

Desirable

• Wealth Management experience, including understanding of the IFA and financial planning lifecycle
• Knowledge of regulatory frameworks such as Consumer Duty, Senior Managers and Certification Regime and MiFID II
• Experience in regulated environments

*Rates depend on experience and client requirements