Senior Data Engineer

Candidate Description

With deep expertise in Azure-centric data platforms and over six years of experience, this senior data professional excels in designing and modernising end-to-end analytics solutions. They have navigated diverse domains—ranging from hospitality at a Technology Provider and retail engagements for an IT Services Provider to academic analytics at an Academic Institution—applying robust engineering practices and cross-functional collaboration to translate complex business requirements into high-performance data architectures.

Adept at orchestrating technologies such as Azure Synapse, Microsoft Fabric, Databricks and Power BI, they have delivered scalable pipelines, advanced modelling frameworks and gold-standard datasets that underpin strategic reporting. Highlights include reducing processing overhead through parameter-driven ingestion frameworks, implementing SCD2 logic with Delta Lake CDF and instituting real-time alerting with Azure Logic Apps and Data Activator. Their track record demonstrates proficiency in data migration, lakehouse implementations, dimensional modelling and automated quality assurance, all executed within Agile and DevOps-enabled environments.

Combining strong technical leadership with a commitment to knowledge sharing, they mentor teams, conduct architecture reviews and champion best practices to uplift organisational data maturity. Their adaptable approach, proven across consulting, retail, education, manufacturing and defence projects, positions them as a valuable catalyst for organisations seeking to unlock data-driven insights and foster a culture of continuous improvement.