Senior Data Engineer

Candidate Description

With over 15 years steering enterprise-grade data-engineering initiatives, this seasoned Senior Data Engineer excels at architecting modern data-warehouse and analytics solutions across banking, real-estate and fintech domains. They have delivered complex migration and BI programmes for leading organisations including a Financial Institution, a Major Bank and a Real Estate Company, demonstrating deep expertise with Azure PaaS services, SQL Server ecosystems and Dimensional as well as Data Vault modelling.

Their technical acumen is evidenced by extensive hands-on work with Azure Synapse Analytics, Data Factory, Databricks (PySpark) and Power BI—building high-performance ETL pipelines, serverless analytics, and interactive dashboards. Notable achievements include refactoring hundreds of legacy SSIS packages into BIML frameworks at a Major Bank, resolving 200+ reconciliation defects during a Link Group’s Azure migration, and creating configurable ETL services processing 3 million daily transactions for a Technology Provider. Proficiency spans advanced SQL/T-SQL optimisation, Python scripting, CI/CD with Git and Octopus, and governance-driven SIT & UAT management.

An adaptable leader and mentor, they regularly liaise with cross-functional stakeholders, facilitate workshops, and guide testing and change-management activities to ensure smooth delivery. Their consistent record of post-implementation support, production stability and knowledge-sharing positions them as a value-adding data professional capable of driving insight-led transformation for organisations seeking scalable, resilient and future-proof analytics platforms.