Harnham
Data Modeller

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Data Modeller
Location
London/Hybrid
Salary
Up to £65,000
Overview
This is a strong opportunity for a Data Modeller or Analytics Engineer who wants to move into Data Architecture. You will join a team investing in modern data platforms and governance, with clear mentorship and a defined path into architecture. The role is designed for someone who enjoys modelling and wants to shape how data is structured and used across a complex organisation.
The Company
They are a large, purpose-driven organisation operating at national scale, with a strong focus on public impact and regulatory outcomes. The business is undergoing a significant digital and data transformation, investing in cloud platforms, governance, and architectural best practices. Data is central to improving decision making and operational effectiveness. You will join a growing data and architecture function that partners closely with stakeholders across the organisation.
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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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.
The Role
- Develop and maintain conceptual, logical, and physical data models across multiple projects
- Support the development and enforcement of data architecture standards and best practices
- Collaborate with data engineers, analysts, and governance teams to ensure consistent data design
- Translate business requirements into scalable and well-structured data models
- Contribute to the evolution of the organisation's data architecture, with mentoring from senior architects
- Work across modern cloud-based data platforms to support transformation initiatives
- Engage with stakeholders to promote good data modelling practices and architectural thinking


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Your Skills and Experience
- Strong commercial experience in data modelling within modern data environments
- Exposure to dimensional modelling approaches such as Kimball or Data Vault
- Experience working with cloud data platforms, ideally within the Microsoft ecosystem
- Familiarity with tools such as dbt, PySpark, or Python is beneficial
- Understanding of data architecture principles and a clear interest in progressing into an architectural role
- Experience working in cross-functional teams with both technical and non-technical stakeholders
- Ability to translate complex requirements into structured and scalable data solutions
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