Senior Azure Data Engineer

Candidate Description

Marked by a strong track record of architecting modern cloud data platforms, this Senior Data Engineer brings over 12 years of software and data-engineering experience spanning travel, insurance and professional-services sectors. They specialise in Azure ecosystem solutions, leveraging Databricks, Delta Lake and Azure Data Factory to engineer high-performance, scalable pipelines that power real-time analytics and business insights. Adept at end-to-end project ownership, they combine deep technical acumen with a keen focus on data governance, quality and security.

Their technical breadth is demonstrated through the delivery of Medallion-architecture data lakes, AI-assisted dbt models and event-driven integrations using Azure Service Bus and Cosmos DB. Leveraging skills in Python, Spark SQL and CI/CD automation with Azure DevOps, this professional has optimised complex ELT workflows, reducing processing times by up to 25 % and elevating data quality by double-digit percentages. Key achievements include rolling out Microsoft Purview for enterprise-wide lineage, rebuilding legacy transformations within Databricks, and designing microservices and REST APIs that underpin critical booking and ride-sharing platforms.

Combining hands-on expertise with leadership capabilities, they mentor engineering teams, enforce coding standards and champion best-practice DevOps to ensure resilient production operations. Their adaptability across diverse domains, proactive problem-solving and commitment to continuous improvement make them a valuable asset for organisations seeking to unlock the full potential of their cloud data ecosystems.