Senior Data Engineer (Azure & Fabric)

Candidate Description

With over 16 years navigating consulting, healthcare, mining, government and automotive sectors, this senior data professional excels at architecting and delivering modern Microsoft Azure and analytics platforms that turn complex data challenges into scalable, high-value solutions. Their breadth spans Azure Synapse Analytics, Microsoft Fabric, Databricks and the wider Azure ecosystem, coupled with strong data-modelling and warehousing expertise. Adept at engaging both technical and executive stakeholders, they bring a consultative approach honed through roles at a Major Automotive Association, a Consulting Firm and several UK-based software innovators.

Adept at CI/CD, automated testing and DevOps practices, they have cut ingestion times by 70 %, migrated legacy BI estates to modern architectures and embedded Power BI analytics directly into customer-facing applications. Key achievements include architecting a hybrid on-premises/Azure platform for a major mining client, leading the technical stream that secured a two-year public-sector project extension, and introducing metadata-driven Azure Data Factory frameworks that accelerated delivery. Their technical toolkit encompasses Data Factory, Synapse, Fabric, SSIS, T-SQL, GitHub and BIML, underpinned by Agile and Scrum methodologies and validated by Certified ScrumMaster credentials.

Beyond hands-on engineering, this individual is a proven leader and mentor, having guided cross-functional teams and delivered training programmes that uplift organisational capability in data engineering and analytics. Comfortable presenting at all levels, they synthesise strategic vision with deep technical know-how to drive data-driven transformation. Their blend of consultancy rigour, technical depth and people-centric leadership makes them a valuable asset for organisations seeking to maximise the value of their data platforms and accelerate insight delivery.