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Wave Group

Data Engineering Manager

United Kingdom
Β£110k/yr
Posted about 22 hours ago
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Job Title: Data Engineering Manager

πŸ’° Salary: Β£110k + 25% bonus

🌍 Location: Fully remote anywhere in the UK

⚑️ Industry: Energy

πŸ›‚ 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

I’m in my final year doing Economics and I don’t 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) don’t need a masters. Let’s look at the ones you’d 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.

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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.

P

Graduate Consultant β€” 2026 Scheme

PwCΒ·London, UK
Β£35,000/yr

Why you're a good match

Strong

Your 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.

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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.

Why you're a good match

You’ve 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.

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Strong

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.

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Strong

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

πŸ›‚ Please note: VISA sponsorship is NOT available for this role.

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Skills

Data Architecture
Databricks
AWS
Apache Spark
Data Governance
People Management
Data Engineering
Analytics Engineering
Performance Tuning
Data Orchestration
Streaming Pipelines
Batch Pipelines

Location

United Kingdom

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