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Data Modeller | Retail Banking | 6-Month Contract
Location
UK (Hybrid)
Duration
6 Months (Initial Contract)
Day Rate
Competitive
Sector
Retail Banking
We're supporting a leading retail banking organisation on its data maturity and data product journey and are looking for an experienced Data Modeller to join a high-profile transformation programme.
This is an excellent opportunity for someone who combines strong data modelling expertise with exceptional stakeholder engagement skills. You'll play a key role in defining and shaping business-critical data assets, working across business and technology teams to create clear, scalable, and well-governed data models that support enterprise-wide initiatives.
What You'll Be Doing
- Collaborating with business stakeholders, architects, product owners, and engineering teams to define and model data requirements.
- Creating and maintaining conceptual, logical, and physical data models.
- Supporting the development of data products and helping drive data maturity across the organisation.
- Defining data standards, business definitions, metadata, and lineage requirements.
- Translating complex business concepts into clear and effective data models.
- Ensuring alignment with enterprise data architecture and governance frameworks.
- Contributing to data management best practices and modelling standards.
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.
What We're Looking For
- Strong experience in Data Modelling or Data Architecture within a banking or financial services environment.
- Excellent stakeholder management, communication, and collaboration skills.
- Strong analytical and problem-solving capabilities.
- A solid understanding of the differences between conceptual, logical, and physical data models, and the ability to explain and apply these appropriately.
- Experience using data modelling tools such as:
- ERwin
- Sparx Enterprise Architect (EA)
- ER/Studio
- or equivalent
Technical Knowledge
Experience with several of the following:
Data Modelling Methodologies Including:


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- Third Normal Form (3NF)
- Dimensional Modelling
- Data Vault
- Key-Value Data Structures
- NoSQL Document Stores
Industry Data Models/Frameworks Such As:
- IBM Information Framework (IFW)
- Teradata Industry Data Models
- BIAN
Data Management Disciplines Including:
- Data Product Management
- Metadata Management
- Data Lineage
- Data Governance
- Data Definitions and Business Glossaries
Ideal Background
- Retail Banking or wider Banking experience is essential.
- Experience supporting organisations on data transformation, modern data architecture, or data maturity initiatives.
- Able to operate confidently at both business and technical levels.
- Comfortable working across conceptual and logical modelling activities, while maintaining an appreciation of physical implementation considerations.
- Not solely focused on database design, nor purely conceptual/ontology modelling. We're looking for someone who can bridge business understanding with practical data modelling delivery.
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