Lead Data Platform Engineer

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives., * Developing and deploying the Lakehouse platform in Azure.

• Owning Databricks engineering, administration and platform optimisation.
• Designing end-to-end data platform solutions
• Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
• Creating and maintaining CI/CD pipelines and automated testing frameworks.
• Developing APIs to support integration
• Implementing monitoring, logging and alerting for platform reliability.

• Deep expertise in Databricks, PySpark, Python and SQL.
• Proven experience designing and delivering Lakehouse solutions.
• Strong DevOps capabilities, including CI/CD and automated testing.
• Experience with Infrastructure as Code and cloud automation.
• Familiarity with monitoring, logging and alerting tools.
• Strong stakeholder engagement and the ability to work across teams.
• Experience with APIs and data integration methods.
• Azure Data Factory experience is beneficial.

You will receive a salary, dependent on experience. Salary is up to £85,000 On top of the salary there are some fantastic extra benefits.

This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible-by-choice working, a positive work-life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise