Senior Data Engineer

Candidate Description

With more than nine years delivering complex data-engineering and business-intelligence outcomes, this professional combines deep Microsoft Azure expertise with proven leadership across government, financial services and retail sectors. They excel at designing highly-available cloud data platforms, migrating mission-critical workloads and translating business requirements into scalable solutions that harness Azure Data Factory, Databricks, Synapse and Power BI. Adept at both Agile and Waterfall delivery, they bring a robust analytical mindset and a track record of engaging stakeholders to drive data-driven transformation.

Their technical acumen is demonstrated through end-to-end migrations for organisations such as a Government Tribunal, a Tribunal and a Hospitality Company, where they engineered CI/CD-enabled pipelines, implemented Terraform-based IaC and built lakehouse architectures that power real-time analytics. Key achievements include delivering a 99.9 %-accurate on-prem-to-Azure migration, reducing ETL windows by over 30 % through incremental loading strategies, and crafting Microsoft Fabric solutions that unite ingestion, warehousing and visualisation in a single SaaS environment.

Combining hands-on engineering with mentoring and solution-architecture capabilities, they routinely guide cross-functional teams, champion best practices in DevOps and data governance, and adapt quickly to new domains—from FMCG at a Wine Company to pandemic response analytics for the Health Department. This blend of leadership, versatility and deep technical skill positions them as a valuable asset for organisations seeking to modernise data landscapes and unlock actionable insights at scale.