Senior Azure Fabric Data Engineer

Candidate Description

With a proven track record across financial services, government, healthcare and retail sectors, this Senior Data Engineer excels in crafting end-to-end data, analytics and business intelligence solutions on the Microsoft cloud stack. They combine over eight years of experience with deep expertise in Azure, Microsoft Fabric and Dynamics 365 environments, underpinned by strong skills in ETL, data modelling and visualisation. Adept at seeing the broader business picture, this professional consistently aligns technical architectures with strategic objectives while minimising risk.

Their technical acumen is evident in the design of scalable data pipelines using Azure Data Factory, Synapse Analytics, Spark Notebooks and DBT, as well as in the creation of more than 100 Power BI dashboards that empower self-service analytics. Leveraging Agile and DevOps methodologies, they have led successful migrations from OBIEE and Dynamics 365 F&O to modern Azure-based Lakehouse architectures, optimised Databricks clusters for performance and enforced enterprise-grade security with role-based access controls. Key achievements include architecting a Fabric-powered Salesforce integration for a Financial Institution and modernising Treasury reporting for a Major Bank.

Combining hands-on technical leadership with strong stakeholder engagement, they routinely mentor junior engineers, facilitate Scrum ceremonies and conduct requirements workshops that drive business value. Their adaptability is demonstrated through multi-disciplinary roles—Scrum Master, Business Analyst, Developer and Tester—yielding significant cost savings. This blend of strategic insight, technical depth and collaborative approach positions them as a valuable asset for organisations seeking to unlock data-driven decision-making and achieve digital transformation at scale.