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Data Engineering Manager
Job Posted: 5 hours ago
Salary: £ 65,000 - 75,000 / Annum
Job Type: Permanent
Location: Leeds
Expire in: a month
Job Description
Data Engineering Manager
Location: Leeds (Mostly Remote – 1 Day On-Site)
Salary: Up to £75,000 per annum
Are you an experienced Senior Data Engineer ready to step into a leadership role? We’re looking for a Lead Data Engineer to join our team based in Leeds, working mostly remotely with just one day on-site per week.
You’ll lead the design and delivery of scalable, cloud-based data solutions using Databricks, Python, and SQL, while mentoring a team and driving engineering best practices.
About You
You might currently be a Senior Data Engineer ready to grow your leadership skills. You’re passionate about building robust, efficient data pipelines and shaping cloud data architecture in an agile environment.
Key Responsibilities
Lead development of data pipelines and solutions using Databricks, Python, and SQL
Design and maintain data models supporting analytics and business intelligence
Build and optimise ELT/ETL processes on AWS or Azure
Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products
Champion best practices in testing, CI/CD, version control, and infrastructure as code
Mentor and support your team, taking ownership of technical delivery and decisions
Drive continuous improvements in platform performance, cost, 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 mentorship experience
Excellent communication and stakeholder management
Agile delivery and DevOps tooling knowledge
Desirable
Experience with infrastructure-as-code (Terraform, CloudFormation)
Familiarity with CI/CD pipelines and orchestration tools
Knowledge of data governance and quality controls
Experience in regulated or large-scale environmentsBefore You Apply
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