Data Engineer / Solution Designer

Candidate Description

A seasoned Data Engineer and Data Modeller with over 15 years of experience, this professional excels in architecting enterprise data platforms across the financial services, media, telecommunications and real-estate sectors. Leveraging deep expertise in Azure, AWS, Snowflake and Databricks, they design robust Data Vault based warehouses, implement best-practice modelling techniques (Kimball, Inmon, 3NF) and drive end-to-end BI initiatives using tools such as Power BI, Tableau and Microsoft BI. Their strong analytical acumen is complemented by proven leadership in stakeholder engagement, governance and roadmap definition.

Demonstrating technical depth, they have delivered large-scale data-integration solutions for organisations including a Superannuation Fund, a Media Company and a Financial Institution. Proficiencies span data pipeline orchestration, transformations, master-data frameworks, and automated CI/CD practices with GitHub and Azure DevOps. Key achievements include architecting an Enterprise Data Hub that underpins the Superannuation Fund's analytics strategy, accelerating report-development cycles at the Media Company through optimised semantic models and reducing the Financial Institution's ETL runtimes by refining configurations.

Adaptable and collaborative, they mentor cross-functional teams, bridge communication between developers and business stakeholders, and champion agile methodologies to ensure timely, value-driven outcomes. Their combination of strategic vision, hands-on technical capability and commitment to data-governance excellence positions them as a transformative asset for organisations seeking to maximise data value and drive insight-led decision-making.