Salary: £75,000 - 85,000 per year Requirements: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Technologies: ARM Azure CI/CD Cloud Databricks DevOps Machine Learning Python PySpark SQL Terraform Spark More: We are a nation-wide organization with a reputation for excellence and a supportive, inclusive culture, currently seeking a Lead Data Platform Engineer to join our Data Engineering and Machine Learning team. This high-impact, senior role is ideal for individuals with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. We offer remote work, flexible hours, a competitive salary up to £85k plus a 15% bonus, private medical options, 25 days of holiday plus bank holiday, and the chance to buy/sell additional holiday. Join us in shaping the future of our data platform while collaborating with a talented and diverse team. last updated 7 week of 2026