Azure Data Engineer – Databricks

Candidate Description

With over nine years working across government, consulting and construction sectors, this professional excels in designing and implementing cloud-native data solutions. They bring deep expertise in Azure, AWS and Databricks platforms, underpinned by strong programming capabilities in Python, JavaScript and SQL, and a passion for data-driven decision-making that spans data engineering, analytics and visualisation.

Their technical acumen is demonstrated through building high-performance data pipelines, automating legacy data migrations and orchestrating CI/CD workflows using Azure DevOps, Git and PowerShell. Key achievements include delivering mission-critical analytics platforms for a Regulatory Agency and crafting a Power BI risk dashboard for a Technology Firm, all while adhering to Agile and Scrum practices and leveraging services such as Azure Data Factory, Synapse Analytics and Apache Spark.

Adaptable and collaborative, they provide mentorship to junior engineers and thrive in multidisciplinary teams, consistently aligning technical deliverables with organisational strategy. This combination of leadership, analytical rigour and hands-on cloud engineering positions them to drive impactful data initiatives and support transformative outcomes for future employers.