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Data Architect: Entity Resolution & Master Data Management
We're supporting a major data transformation programme and are looking for an experienced Data Architect with deep expertise in Entity Resolution and Master Data Management (MDM) to deliver a business-critical project at significant scale.
This is an opportunity to lead the design and implementation of a high-performance data matching platform, enabling accurate entity resolution across multiple complex data sources. AI/ML-driven matching will play a key role, making this an exciting engagement for someone who enjoys solving complex data challenges.
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 — 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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Graduate Consultant — 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.
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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 — 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 — 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 — and where to focus when applying.
Key Responsibilities
- Design and implement scalable Entity Resolution and MDM architectures.
- Develop record linkage, matching, deduplication and clustering solutions across large datasets.
- Define and manage golden record models, master data and entity hierarchies.
- Establish matching, standardisation, survivorship and merge rules.
- Optimise entity resolution performance, accuracy and scalability.
- Support and implement AI/ML-based matching approaches where appropriate.
Key Requirements
- Proven experience as a Data Architect delivering Entity Resolution and MDM solutions.
- Strong understanding of data matching, record linkage, deduplication and golden record design.
- Experience delivering large-scale enterprise data architecture programmes.
- Knowledge of AI/ML approaches for entity matching is highly desirable.
- Active SC or NPPV3 Clearance is required.


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Contract Details
- Business-critical programme with a fixed end-of-year delivery and further project work already planned.
- Interviews taking place as suitable candidates are identified.
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