Senior Data Engineer

Candidate Description

A seasoned Senior Data Engineer with more than 15 years' experience, this professional has delivered complex cloud-native data solutions for organisations such as a Superannuation Fund, a University, and a Government Agency. They excel in architecting modern lakehouse and warehouse environments on Azure, expertly combining services like Azure Data Factory, Azure Databricks, Synapse Analytics, and Power BI to unlock business insights across financial, education, government, and defence sectors. With a foundation in advanced SQL development and an aptitude for large-scale data modelling, they bring strong analytical and problem-solving skills to every engagement.

Demonstrating deep technical acumen, they have optimised multi-terabyte pipelines, implemented metadata-driven frameworks, and led migrations from legacy SSIS and SAS systems to scalable, cost-efficient cloud platforms. Proficiency spans Python, PySpark, Hadoop, Machine Learning, Terraform, and Git-based CI/CD automation, enabling rapid delivery of secure, high-performance data products. Key achievements include accelerating REST API ingestion for a Superannuation Fund, modernising a University's data estate with Microsoft Fabric, and reducing query runtimes by up to 60 percent at a Government Agency.

Complementing their technical expertise, this individual has repeatedly stepped into leadership roles—mentoring engineers at a Telecommunications Company, guiding university research teams, and coordinating cross-functional stakeholders in defence and banking. Their adaptability across consulting, telecommunications, and public-sector environments underscores a capacity to drive value under diverse governance, privacy, and regulatory frameworks. By uniting robust engineering practices with a collaborative mindset, they consistently deliver data platforms that empower strategic decision-making and sustainable growth.