Senior Azure Data Engineer (Fabric)

Candidate Description

With more than twelve years in data engineering and over five years specialising in cloud-native Microsoft Azure solutions, the candidate excels at designing and delivering robust, scalable data platforms for government and tier-one banking clients. Adept at orchestrating complex ingestion frameworks, they have deep expertise across Azure Data Factory, Databricks, Microsoft Fabric, Snowflake, and Apache Spark, complemented by strong Python and SQL development skills. Their versatility spans sectors such as Government, Financial Services, and Consulting engagements through major consulting firms.

Their technical acumen is demonstrated through the successful migration of legacy stored-procedure frameworks to Medallion-based architectures in Microsoft Fabric, the delivery of distressed-debt lifecycle systems, and the build-out of ESG data frameworks compliant with industry standards. Proficient in DevSecOps and CI/CD, they craft reusable PySpark pipelines, embed automated testing, and leverage Azure Logic Apps, Event Grid, and API Management for proactive monitoring and secure data exposure. Key achievements include maintaining 100 % service continuity during large-scale migrations, reducing batch processing times for hardship assessments, and enabling real-time Power BI dashboards for audit-ready ESG reporting.

Known for collaborative leadership, they routinely liaise with architects, data owners, and cross-functional teams to translate business requirements into actionable technical designs. Mentoring junior engineers, standardising coding practices, and driving documentation excellence underscore their commitment to quality. Adaptable across domains and technologies, this individual offers a proven record of delivering high-impact, compliant data solutions that empower organisations to make timely, data-driven decisions.