Data Engineering Manager

Burns Sheehan

Manchester

On-site

GBP 75,000 - 90,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Annual bonus up to 15%

Pension scheme

Life assurance

Income protection

GP Anytime service

Health cashback plan

Wellbeing apps

Independent financial advice

Discounted gym memberships

Cycle to work

Enhanced parental leave

Fertility and foster-friendly policies

Birthday off

Volunteer days

In-office massages

Team events and socials

Dog-friendly office

Job summary

Burns Sheehan is seeking a Data Engineering Manager in Manchester with a strong blend of leadership and technical ownership. You will guide a data engineering team, shape architecture and mentor engineers while contributing to delivery where needed.

You’ll drive modernisation of the data estate, from real-time processing to a cloud-based lakehouse, aligning with business needs and platform roadmaps.

Qualifications

Experience leading data engineering teams and delivering with strong people management.
Expertise in AWS-based data platforms and cloud architecture.
Strong SQL Server, real-time processing and data pipeline design.
Proficiency with ETL/ELT tools and modern CI/CD/IaC practices.
Experience with Agile environments and enterprise visualization tools.

Responsibilities

Lead and develop a collaborative, high-performing data engineering team.
Improve delivery standards, engineering practices and technical ownership.
Modernise a legacy SQL Server and DBA-led data estate.
Improve platform reliability, monitoring, observability and performance.
Support evolution toward a modern AWS-based lakehouse architecture.
Oversee real-time and event-driven data capabilities.
Translate business requirements into scalable data solutions.
Establish stronger CI/CD, Infrastructure as Code and automation practices.
Work with data leadership to shape the long-term platform roadmap.

Skills

People leadership

AWS data platforms

Real-time data processing

SQL Server

ETL/ELT tooling

CI/CD & IaC

Agile

Data pipelines

Tableau

Cloud architecture

Tools

SSIS

Matillion

Microsoft SQL Server

Job description

Data Engineering Manager | £75,000-£90,000 + up to 15% Bonus | Manchester Hybrid

Are you a Data Engineering Manager who enjoys developing people, but still wants to remain close enough to the technology to challenge decisions, shape architecture and help a team solve difficult problems?

I'm working with an established, data-driven fintech that is investing heavily in the evolution of its data function.

Data already sits at the heart of its products, customer journeys and commercial decision-making, but the platform now needs to evolve to support the next stage of growth. This includes improving the reliability and observability of its existing estate, modernising its engineering practices and continuing the move towards a scalable, cloud-based lakehouse architecture.

They are now looking for a Data Engineering Manager to lead the team responsible for delivering that transformation.

The opportunity

This is a genuine blend of people leadership and technical ownership, with an expected split of around 70% leadership and 30% technical involvement.

You'll lead, coach and develop a team of data engineers, while remaining technically credible enough to challenge senior engineers, contribute to architectural decisions and occasionally get involved in delivery where needed.

As Data Engineering Manager, you'll be responsible for:

Leading and developing a collaborative, high-performing data engineering team
Improving delivery standards, engineering practices and technical ownership
Modernising a legacy SQL Server and DBA-led data estate
Improving platform reliability, monitoring, observability and performance
Supporting the evolution towards a modern AWS-based lakehouse architecture
Overseeing real-time and event-driven data capabilities
Translating business requirements into scalable data solutions
Helping establish stronger CI/CD, Infrastructure as Code and automation practices
Working with the wider data leadership team to shape the long-term platform roadmap

What they're looking for

You'll ideally be a former Data Engineer who has moved into team leadership because you genuinely enjoy helping people perform, develop and progress.

You should bring strong experience across areas such as:

Managing or leading data engineering teams
AWS-based data platforms and cloud architecture
Real-time data processing and event streaming
SQL, T-SQL and Microsoft SQL Server
Query optimisation, database performance and platform reliability
ETL and ELT tooling such as SSIS, Matillion or similar
Data pipelines, analytical data models and reporting platforms
Tableau or another enterprise visualisation tool
Infrastructure as Code and automated infrastructure management
Agile engineering environments and CI/CD practices

Experience with lakehouse architectures, data lakes, object storage, semi-structured data, advanced analytics or machine learning workflows would be beneficial, but they are not expecting the successful Data Engineering Manager to have worked with every technology listed.

Why consider it?

This isn't a role where you'll simply inherit a mature platform and keep the lights on.

You'll be joining during a genuine period of technical transformation, with the opportunity to improve how the team operates, modernise the platform and help shape how data is used across the business.

There is already strong technical capability within the team, so the priority is finding a Data Engineering Manager who can bring people together, create clarity and turn the wider data strategy into delivery.

Benefits include: