Senior Data Engineer

Candidate Description

With more than 17 years navigating the data-engineering landscape, this professional excels in architecting and delivering high-performance, cloud-native solutions across Healthcare, Energy, Telecommunications, Retail and Financial Services sectors. Leveraging deep expertise in Microsoft Azure, Databricks and Apache Spark, they routinely bridge the gap between business strategy and technical execution by designing scalable data platforms that drive data-driven decision-making.

Their technical acumen is demonstrated through end-to-end ownership of complex data-pipelines, dimensional modelling, metadata-driven ingestion and CI/CD automation. At a Healthcare Provider they re-engineered the strategic data platform on Azure, realising documented multi-million-dollar savings, while at a Consulting Firm they optimised BI environments for energy companies using automated data-validation frameworks. Proficiency spans Python, Scala, SQL, Azure Data Factory, Synapse Analytics, Talend and Snowflake, applied within Agile and DevOps methodologies to deliver repeatable, production-ready releases.

Known for collaborative leadership, they mentor junior engineers, coordinate with architects, governance and legal teams, and thrive in cross-functional, multicultural environments. Adaptable to diverse domains—from smart-meter analytics at a Communications Company to retail analytics—they consistently translate complex requirements into elegant data solutions. This individual offers employers a potent blend of strategic insight, hands-on engineering expertise and a proven track record of cost optimisation, making them a valuable asset for any data-driven transformation initiative.