Design, develop, and deliver enterprise‑grade analytics solutions based on Azure and Databricks technologies. Evangelise best practices, mentor colleagues, and support their personal development. Work directly with high‑profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors.
Qualifications
Demonstrable end‑to‑end experience in data engineering, including large‑scale projects.
Experience with Azure technologies such as Databricks, Microsoft Fabric, Data Factory, Azure Data Lake Storage (Gen 2), Purview, Cosmos DB, Open AI, Azure ML, AI Foundry, Kubernetes.
Understanding of software engineering tools and concepts, including experience in Python, Scala or PySpark, database technologies, data modelling and SQL.
Confident communicator who can explain technical terms to non‑technical audiences and mentor junior colleagues.
Experience leading small development teams: tracking work, managing assignments and capacity.
About You
Analytical, curious, agile.
Team player and good communicator.
Problem‑solver, patient, quality‑driven.
Self‑motivating.
Innovative mindset.
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