Wave Group
Data Architect

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Job Title: Data Architect (junior-mid)
π° Salary: up to ~Β£75k
π Location: Central London (2-3 office days/week)
π¦ Industry: Insurance
π VISA sponsorship is NOT available
Ready to make the jump from data engineer to data architect? This is a genuine first-architecture-role opportunity β not a "prove yourself for two years before we let you near real decisions" setup, but a proper hands-on step-up, on a flagship insurance-sector transformation in the City of London, with direct client exposure from day one.
About the business
You'll be joining a global technology and business consultancy with 40 years of heritage and 2,800+ people across Italy, Switzerland, Germany, France, the UK, Belgium, the US and India. Despite the scale, it still runs with the culture of a family business β founder-led, collaborative, and genuinely invested in developing people rather than just delivering projects. The UK arm is growing fast, and this hire will be one of the early members of that build-out β which means real trust, real ownership, and nobody standing between you and the client.
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.
The opportunity
This is where a strong data engineer with a couple of years of Fabric or governance exposure gets thrown in at the deep end β in a good way. You'll be mentored and supported, but you won't be sat in the background: you'll be in the room with client stakeholders, contributing to real architectural decisions from early on. If you're hungry to accelerate your career rather than wait your turn, this is built for exactly that.
What you'll get to do:
- Get hands-on building and supporting data pipelines and reporting on Microsoft Fabric, Power BI, and SQL Server, within a live 15-20 person data platform team
- Build genuine cloud fundamentals on a large-scale enterprise data estate
- Learn Data Mesh and Data Product thinking in practice, on a live enterprise programme
- Get properly trained up on Microsoft Purview β metadata, lineage, and data quality frameworks
- Build incident management and platform operations experience β a skill that compounds fast
- Learn what it actually takes to operate in a regulated FSI environment β governance, auditability, security, GDPR


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What you'll bring:
- A solid grounding in data engineering, analytics, or SQL-based reporting β ideally a few years in, ready to make the leap into architecture
- Exposure to Microsoft Fabric, Power BI, SQL Server, or general cloud fundamentals β you don't need to have run it end-to-end yet, but you know your way around the stack
- Curiosity about the bigger picture β data strategy, operating models, governance β beyond just the pipeline
- Some exposure to data modelling or data product concepts
- Comfort working in, or genuine interest in, regulated environments β insurance or financial services exposure is a bonus, not a requirement
- Confidence to speak to stakeholders directly
- Learning agility over years of experience β we're looking for someone smart and hungry, not someone who's already ticked every box
- A team-first, low-ego attitude β you'll be learning fast, and that means being open to feedback
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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