Wave Group
Data Engineering Manager

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Job Title: Data Engineering Manager
π° Salary: Β£110k + 25% bonus
π Location: Fully remote anywhere in the UK
β‘οΈ Industry: Energy
π VISA sponsorship is NOT available
Company
A high-growth SaaS business with a strong financial backing that sits at the heart of the UK energy market - building the cloud-native platform that powers billing, financial settlement and data infrastructure for some of the country's largest energy suppliers.
Role
Data Engineering Manager leading two closely connected teams - one focused on core data products, the other on finance-critical data workflows operating at serious scale. Think hundreds of billions of rows, strict SLAs, and output that lands directly in client P&Ls.
Reasons to use Rodeo
Iβm in my final year doing Economics and I donβt know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer β it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) donβt need a masters. Letβs look at the ones youβd be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet β that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant β 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt 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.
Why you're a good match
Youβve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon β deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme β client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right β and where to focus when applying.
We're looking for a technical leader who can hold their own in architectural conversations with senior ICs and thinks 12-24 months ahead - not just the current sprint ahead.
Management Experience
You've managed teams of Data and Analytics Engineers - not just led projects, but developed people, handled dysfunction, built culture. You understand why the data matters, not just how to move it. You're energized by the idea of commercialising data as a product. And you thrive with autonomy in a remote-first environment.


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You'll be leading a team of 10-12, split into 2 squads - Analytics Engineering and Data Engineering.
Technical Experience
- Strong Data architecture experience (medallion, data warehouse, lakehouse)
- Deep expertise in cloud data platforms, particularly Databricks and AWS
- Advanced experience using Spark, including performance tuning at scale
- Data ingestion, orchestration, streaming and batch pipelines
- Proven experience implementing data governance, security and access frameworks
π Please note: VISA sponsorship is NOT available for this role.
βIt 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 Iβve been looking for.β
Jessica, London
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