Principal Data Engineer

• Design and deliver scalable data platforms using Azure, Databricks, and Microsoft Fabric
• Own solution architecture, ensuring performance, security, and best practices
• Stay hands-on with Python (essential), Spark, and SQL
• Lead client workshops ('Accelerate' engagements) and translate business needs into technical solutions
• Set engineering standards (CI/CD, coding, testing, reusable frameworks)
• Manage technical delivery, risks, and project outcomes
• Mentor engineers and act as a senior technical authority

• Strong Azure data platform experience (Databricks, Data Factory, Fabric, Synapse)
• Advanced Python skills (must-have) + Spark & SQL
• Experience building modern Lakehouse / distributed data architectures
• Strong understanding of performance optimisation, governance, and cloud best practices
• Consultancy or client-facing experience preferred
• Confident communicator - able to engage both technical and non-technical stakeholders

If you're looking for a role where you can lead technically, stay hands-on, and work closely with clients on high-impact data solutions, this is a strong next step.

*P. S: The company cannot provide visa sponsorship, so only candidates residing in UK and with the existing right to work will be considered for the role.

Our client is a high-growth, specialist data consultancy delivering enterprise-scale data platforms for leading organisations. They combine deep engineering expertise with a pragmatic, client-focused approach, helping businesses unlock value from modern cloud and data technologies.