Azure Data Engineering Manager / Managing Consultant – Data & AI

Candidate Description

Marked by more than 15 years of experience delivering enterprise-scale data platforms, this seasoned Data & AI Architect excels at guiding organisations through complex cloud transformations. They have architected Lakehouse and modern data solutions for clients such as an Energy Company, a Major Bank and a Government Department, leveraging deep expertise across AWS, Azure and Databricks to unlock data-driven value. Adept at Medallion architecture, advanced data modelling and robust governance frameworks, this professional seamlessly bridges technology and business objectives.

Their technical acumen is demonstrated through hands-on proficiency in building end-to-end pipelines with tools like AWS Glue, Azure Data Factory, Databricks and Microsoft Fabric. They have led petabyte-scale migrations, resolved critical data-quality issues, and implemented CI/CD and DevOps automation to ensure repeatable, secure deployments. Key achievements include refactoring and onboarding new data sources for a Major Bank's Lakehouse, integrating real-time electric-meter telemetry for a Utility Company, and delivering workforce-placement analytics on Microsoft Fabric for an Educational Organisation.

Complementing their technical depth, this individual brings proven leadership and stakeholder-engagement capabilities, mentoring cross-functional teams and aligning executive sponsors on data-driven strategies. Comfortable navigating high-pressure, regulated environments across financial services, energy, government and not-for-profit sectors, they consistently drive measurable outcomes through innovation, governance and collaborative delivery. Their blend of strategic vision, hands-on expertise and people-centric leadership positions them as a valuable asset for organisations seeking to unlock the full potential of their data assets.