Data Engineering Practice Lead

Candidate Description

Specialising in Azure and Microsoft data ecosystems, this data engineering leader brings over 15 years of experience architecting and delivering high-value analytics platforms across consulting, entertainment, financial services and energy sectors. They possess deep expertise in cloud-native data warehousing, Lakehouse architectures, and BI, underpinned by hands-on mastery of Azure, Databricks, Synapse Analytics and Microsoft Fabric.

Their technical acumen is illuminated through successful migrations of complex workloads to Azure, optimisation of large-scale Tabular models, and creation of reusable Microsoft Fabric accelerators for a Technology Provider. Adept at Python, PySpark, SQL and CI/CD automation, they have engineered performant ETL pipelines, instituted rigorous data governance with Microsoft Purview, and spearheaded DevOps-driven deployment strategies that cut refresh times from hours to minutes.

A collaborative practice lead and mentor, they guide multidisciplinary teams, run stakeholder workshops and shape pre-sales solution architecture that consistently wins new business. Adaptable across industries—from an Automotive Company’s CRM modernisation to a Financial Institution’s analytics—this professional blends strategic vision with technical depth to deliver scalable, governed and cost-efficient data platforms that empower organisations to unlock insight and value.