Data Engineering Consultant
Summary
Design and build enterprise analytics solutions on Azure and Databricks, mentor teams, and advise clients on data architecture and best practices.
Data Engineer – Consultant/Sr. Consultant
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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