Salary: £75,000 - 75,000 per year Requirements: I have hands-on experience with Databricks or similar data engineering platforms. I possess strong Python and SQL skills in data engineering contexts. I have expertise in data modeling and building analytics-ready datasets. I am experienced with AWS or Azure cloud data services. I have proven leadership or management experience in data engineering teams. I excel in communication and stakeholder management. I have knowledge of agile delivery methodologies and DevOps tooling. Responsibilities: I will manage the development of data pipelines and solutions using Databricks, Python, and SQL. I will oversee the design and maintenance of data models that support analytics and business intelligence needs. I will ensure efficient ELT/ETL processes on AWS or Azure cloud platforms. I will collaborate with analysts, architects, and stakeholders to deliver high-quality data products. I will promote best practices in testing, CI/CD, version control, and infrastructure as code. I will mentor and support the data engineering team, taking accountability for technical delivery and decision-making. I will drive continuous improvements in platform performance, cost-efficiency, and reliability. Technologies: AWS Azure Business Intelligence CI/CD Cloud Databricks DevOps ETL Support Python SQL Terraform More: We are offering the position of Data Engineering Manager, based in Leeds with mostly remote work (1 day on-site per week) and a salary of up to £75,000 per annum. If you are an experienced Senior Data Engineer looking to step into a managerial role, this is an exciting opportunity for you to lead our dedicated team and contribute to the strategic direction of our data architecture. We also encourage our employees to refer potential candidates, offering a reward of up to £1,000 for successful referrals. Follow us on LinkedIn for more exciting roles and opportunities. last updated 6 week of 2026