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Data Engineering Manager

Morley
1 month ago
Applications closed

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Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager...

Data Engineering Manager

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 environments

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