Data Platform and Engineering Lead

Salary: £42,000 - 72,500 per year

Requirements

• Strong hands-on experience with Databricks, Spark, Delta Lake, and Databricks SQL
• Proven delivery of cloud migration projects (Teradata experience is a big plus)
• Solid Azure knowledge: Data Lake, Data Factory, Unity Catalog
• Advanced SQL and PySpark engineering skills
• Experience building and optimising medallion/lakehouse architectures
• Ability to work autonomously in fast-paced, product-led environments
• A contractor mindset: pragmatic, delivery-driven, and commercially aware
• Leadership experience is welcome, but not essential

Responsibilities

• Migrating enterprise data workloads from Teradata and other legacy systems into Databricks on Azure
• Designing and building high-performance PySpark pipelines, Delta Lake tables, and medallion architectures
• Developing scalable ETL/ELT workflows and optimising existing pipelines
• Implementing Unity Catalog, governance frameworks, and platform standards
• Leading or contributing to cloud-native data platform builds
• Performance tuning, cost optimisation, and FinOps-aligned engineering
• Working closely with analytics, data science, and product teams to deliver real business value

Technologies

• Azure
• Cloud
• Databricks
• ETL
• PySpark
• SQL
• Spark
• Unity
• GameDev

More

We are building a bench of top-tier Databricks and Cloud Data Engineering contractors for a series of high-impact transformation programmes across multiple UK clients. These roles are focused on hands-on delivery where you will shape modern data platforms, migrate legacy estates, and build engineering foundations that truly get used. We offer competitive day rates, remote or hybrid work options, and contract durations of initial 3-6 months with the possibility of extensions. Join us and work on transformative projects with a modern tech stack where your contributions will have visible impact.

last updated 16 week of 2026