Burns Sheehan
Data Engineering Manager
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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:
- Annual bonus of up to 15%
- Pension scheme, life assurance and income protection
- GP Anytime service for you and your family
- Health cashback plan and access to wellbeing apps
- Free independent financial advice
- Discounted gym memberships and digital fitness classes
- Lifestyle, restaurant and shopping discounts
- Cycle to work scheme
- Enhanced parental and caregiver leave
- Fertility and foster-friendly policies
- Your birthday off and dedicated volunteering days
- Free in-office massages
- Regular team events, celebrations and social activities
- Dog-friendly office
Interested in hearing more? Apply directly or message me for a confidential conversation.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills