Snr Azure Fabric Data Engineer

Candidate Description

A seasoned Senior Data Engineer with over 15 years of progressive experience across consulting, government, utilities and telecommunications, this professional excels in architecting modern data platforms on Microsoft Azure. Leveraging deep expertise in lakehouse patterns, Data Vault 2.0 modelling and Power BI visualisation, they modernise legacy systems and enable actionable insights for organisations such as a Technology Company, a Government Authority and a Telecommunications Company. Adept at stakeholder engagement, they combine business acumen with advanced engineering skills to drive data-led transformation.

Their technical acumen is demonstrated through mastery of Azure Data Factory, Databricks, Synapse Analytics, Microsoft Fabric and CI/CD pipelines in Azure DevOps. The candidate has delivered end-to-end metadata-driven frameworks, implemented robust data-quality testing suites, and optimised streaming and batch workloads using DELTA Lake. Successes include a 20% reporting-efficiency gain for statewide building-cladding operations and a cost-saving Enterprise Risk Mitigation platform, achieved by aligning sound data architecture with Agile delivery methodologies.

Complementing technical depth, this professional brings strong leadership, mentoring and collaborative skills, having guided cross-functional teams and coordinated with architects, analysts and data scientists to realise strategic objectives. Certified in Azure Data Engineering, PRINCE2, Lean Six Sigma Green Belt and ITIL, they adapt quickly to emerging technologies and complex stakeholder landscapes. Their holistic approach ensures resilient, scalable and cost-effective data ecosystems that unlock measurable business value.