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 organisation with a reputation for excellence and a supportive, inclusive culture. We are seeking a Lead Data Platform Engineer to join our Data Engineering and Machine Learning team in a high-impact, senior role. This is a rare opportunity to work fully remotely with condensed and flexible hours while receiving a strong salary with a bonus, and the chance for growth and autonomy. Our team offers private medical options, 25 days holiday plus bank holidays, and the chance to buy/sell holiday. last updated 6 week of 2026