Principal Data Engineer

Candidate Description

Marked by a strong blend of data engineering leadership and advanced analytics prowess, this professional offers over 15 years of experience spanning healthcare, higher-education, energy and government sectors. They excel in architecting and optimising modern data platforms, with deep expertise across Microsoft Azure, Google Cloud Platform and enterprise Microsoft BI stacks. Their analytical background is supported by a PhD in Machine Learning, ensuring rigorous, science-driven problem-solving for complex data challenges.

Adept at orchestrating end-to-end solutions, they have spearheaded migrations from on-premises SQL Server environments to Azure SQL and Azure Data Factory pipelines, introduced geo-spatial analytics for ambulance operations, and delivered predictive models in Python and BigQuery at a Research Institute. Hands-on competencies cover dimensional modelling, ETL development, real-time streaming integrations, DevOps CI/CD, Power BI Premium reporting and Agile delivery management. Key achievements include successful cloud-migration programmes, creation of machine-learning frameworks for biomedical research and the deployment of secure, high-performance data warehouses across multiple organisations.

Complementing their technical depth, this individual demonstrates strong leadership through mentoring teams, leading CAB change-management activities and delivering university-level teaching on AI, Python and data science. Their stakeholder-focused approach, honed through engagements with entities such as an Energy Company, a University and a Government Ministry, underpins a proven capacity to translate business objectives into data-driven outcomes. Adaptable and collaborative, they bring a holistic value proposition as a principal-level data specialist capable of driving strategic insights and digital transformation across diverse domains.