Lead Data Engineer – Azure

Candidate Description

With more than 18 years driving data-centric initiatives, this professional blends deep solution architecture expertise with hands-on data engineering to transform information ecosystems across Financial Services, Retail and Consulting environments. Adept at orchestrating Azure, Databricks, Hadoop and governance toolsets, they deliver resilient data platforms that underpin analytics, regulatory reporting and AI-driven insights for organisations such as a Major Retailer, a Technology Company, a Financial Institution and a Bank.

Their technical acumen spans enterprise data lakehouse architecture, cloud migrations, data quality frameworks and real-time streaming, underpinned by proficiency in Python, SQL and Spark. Notable accomplishments include leading a 30% cost-saving Azure migration at an Insurance Company, winning a Technology Company's 2024 Golden Circle award for high-impact data-fabric pre-sales, and architecting a Bank's Open Banking big-data platform. Practised in Agile delivery, they translate complex requirements into secure, scalable solutions while championing governance and metadata strategies that increase trust and self-service analytics.

Beyond technical delivery, they have managed cross-functional teams, mentored junior engineers and engaged C-suite stakeholders, consistently aligning data initiatives with strategic business goals. Their track record across vendor, consulting and client-side roles demonstrates adaptability and a passion for continuous improvement, positioning them as a valuable leader capable of accelerating any organisation’s data and AI ambitions.