Lead Data Engineer – Azure & Fabric

Candidate Description

With over 13 years navigating complex data and analytics landscapes, this senior data professional excels in architecting modern cloud analytics platforms and intuitive reporting solutions. Their breadth spans Government, telecommunications, agribusiness, retail and financial services sectors, underpinned by deep expertise in Microsoft Fabric, Power BI and broader Azure services. Adept at both Agile and Waterfall delivery, they combine strategic thinking with hands-on technical capability to turn raw data into actionable insight.

Demonstrating advanced technical acumen, they have consolidated enterprise data sources into Medallion Lakehouse architectures, engineered high-performance ETL pipelines using SSIS and Azure Data Factory, and embedded secure, role-based dashboards with Power BI Embedded and Dataverse. Key achievements include leading a Telecommunications Company's analytics modernisation, designing KPI-driven procurement dashboards for banking clients, and migrating legacy SQL estates to scalable Azure environments. Their toolset spans T-SQL, Python, Databricks, Azure DevOps and ServiceNow, bolstered by certifications such as Microsoft Certified: Power BI Data Analyst Associate and Azure Data Fundamentals.

Complementing technical depth, they are a collaborative leader who mentors teams, drives stakeholder engagement and champions best-practice governance. Whether guiding C-suite through reporting roadmaps or automating manual processes with Power Platform solutions, they consistently deliver measurable improvements in data quality, performance and decision-making speed. This blend of leadership, adaptability and end-to-end delivery capability positions them as a valuable asset for organisations seeking to unlock the full potential of their data estate.