Wave Group
Director of Data Engineering

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π» Job Title: Director of Data Engineering
π° Comp: Β£150-250k (DOE)
π Location: fully remote anywhere in the UK with planned get togethers
π¦ Company: leading data business
One of the most interesting data leadership mandates I've worked on this year.
Reporting directly to the CIO, and working closely with the rest of the C-suite, this is the most senior Data hire for a leading data business (like being a CISO for a Tier 1 CyberSec firm).
You'd be coming in to:
- Make data the engine of business growth and the foundation the company's AI strategy genuinely depends on
- Own the data strategy and architecture end-to-end - genuinely hands-on, not one level removed from the detail
- Work day-to-day with the CIO, COO, CFO and a senior exec group, aligning a business around a shared source of truth
- Lead and develop a mixed-seniority team spread geographically
- Build trust in the data team and its outputs across the business
- Ensure operational excellence and governance
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
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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.
β What we're looking for:
- Strong data engineering background (you may have touched Data Science, Analytics and/or Software Engineering throughout your career, but DE must be your main forte)
- Genuine technical depth in data warehouse architecture, ETL processes, table structures, and reporting β this is a semi hands-on role, not a purely strategic one, and you'd be expected to lead by example when needed
- Track record in fast-paced, ambiguous environments β B2B SaaS, FinTech, PE-backed businesses, leading scale-ups etc.
- Comfortable owning a domain fully, without needing much direction - you'll be the most senior data authority in the business
- Knowledge of data governance, data operations, and compliance standards


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π Bonus points for:
- Experience with consumption-based or usage-based business models
- Experience managing a geographically distributed team
- Experience developing junior talent
- Experience with Snowflake (certifications welcome)
- AI fluency with daily usage
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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