Lead Data Engineer

Data Engineering Manager


Location: Leeds (Mostly Remote - 1 Day On-Site)


Salary: Up to £75,000 per annum













About the Role





Are you an experienced Senior Data Engineer ready to step into a managerial role? We are seeking a Data Engineering Manager to lead our Leeds-based team, working mostly remotely with one day on-site per week.





In this role, you will manage the design and delivery of scalable, cloud-based data solutions using Databricks, Python, and SQL. You will lead and mentor a team of data engineers, drive engineering best practices, and own the data architecture strategy in an agile environment.













Key Responsibilities







Manage the development of data pipelines and solutions using Databricks, Python, and SQL




Oversee the design and maintenance of data models that support analytics and business intelligence needs




Ensure efficient ELT/ETL processes on AWS or Azure cloud platforms




Collaborate with analysts, architects, and stakeholders to deliver high-quality data products




Promote best practices in testing, CI/CD, version control, and infrastructure as code




Mentor and support the data engineering team, taking accountability for technical delivery and decision-making




Drive continuous improvements in platform performance, cost-efficiency, and reliability















Key Requirements







Hands-on experience with Databricks or similar data engineering platforms




Strong Python and SQL skills in data engineering contexts




Expertise in data modelling and building analytics-ready datasets




Experience with AWS or Azure cloud data services




Proven leadership or management experience in data engineering teams




Excellent communication and stakeholder management skills




Knowledge of agile delivery methodologies and DevOps tooling















Desirable Skills







Experience with infrastructure-as-code tools such as Terraform or CloudFormation




Familiarity with CI/CD pipelines and orchestration tools




Understanding of data governance and quality controls




Experience working in regulated or large-scale environments