Data Engineering Manager

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Data Engineering Manager

Application Deadline: 1 May 2026

Department: IT

Employment Type: Full Time

Location: Bristol

Reporting To: Graham Lannigan

Description

About the Role:We're looking for a Data Engineering Manager who will be responsible for leading and developing our small but talented Data Engineering team to meet ever-increasing demands for reliable, robust data pipelines to ingest data into our Data Platform and supply consistent, trustworthy datasets to other teams across the business.

The role will lead and develop a team of data engineers, partner closely with stakeholders across the organisation, and ensure best practices in data quality, governance, and platform reliability.

This is a hybrid role, with an expectation to be in the Bristol office 2 days per week. Occasional travel may be required for client or internal meetings, both in the UK and abroad.

Responsibilities

• Lead and develop the Data Engineering team, ensuring timely, high-quality delivery aligned to business and client needs.
• Own the planning and execution of data solutions and products, balancing priorities, resources, timelines and budgets.
• Ensure the delivery of reliable, scalable and secure data infrastructure that supports both internal and client-facing use cases.
• Partner closely with stakeholders across the business to translate requirements into actionable data solutions and manage expectations.
• Provide expert Data Engineering input to Sales, Client Services and Project Management, supporting commercial and delivery outcomes.
• Drive best practice across Data Engineering and Architecture, including data quality, testing, observability and documentation.
• Collaborate with platform and architecture colleagues to evolve and operate the data platform in line with the agreed roadmap.

Skills and Experience

• 5+ years experience managing high-performing Data and/or Analytics Engineering teams in a commercial environment.
• Hands-on experience working in a modern cloud platform. AWS preferred, but experience of Azure and/or GCP is also beneficial.
• Strong technical experience as a Data or Analytics Engineer.
• Highly effective people management skills, with a history of supporting Engineers to grow and develop.
• Excellent organisational and project management skills, with experience balancing workloads against business demands across multiple projects in parallel.
• Good commercial awareness, conscious of cost optimisation and resource planning.
• Experience of working within delivery frameworks such as Agile or Lean.
• Strong skills in Project Management tools such as Jira or Azure DevOps.
• Demonstrable ability to articulate technical concepts clearly and concisely, including presenting to a blend of technical and non-technical audience.
• Excellent verbal and written English.

Equal Opportunities

adm-Indicia is proud to be an equal opportunity employer and is committed to creating a diverse environment. We recruit, employ, develop, compensate, and promote regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Should you need any reasonable adjustments made to this application process, please don't hesitate to let us know.