PRIMUS Global Solutions (PRIMUS UK & Europe)
Data Architect

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Skills and Experience
Essential
- Proven experience as a Data Architect in complex, multi-stream delivery environments
- Strong hands-on expertise in data modelling (conceptual and logical)
- Experience working within the insurance domain, with strong understanding of data across underwriting and policy lifecycles
- Familiarity with London Market data models and standards
- Strong collaboration skills, able to work effectively across architecture and delivery teams
- Experience supporting large-scale transformation programmes with multiple parallel workstreams
Technical Skills
- Experience working with modern data platforms such as Snowflake
- Experience of ELT/ETL
- Strong understanding of analytics and reporting tooling (e.g. Power BI)
- Solid grounding in data integration patterns and data pipeline design
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
Desirable


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- Exposure to data governance frameworks and tooling (e.g. Collibra)
- Experience with orchestration platforms such as Astronomer / Airflow
- Knowledge of enterprise data architecture practices, including metadata management and lineage
Key Responsibilities
- Develop and maintain conceptual and logical data models across the Polaris programme, with a focus on underwriting and platform domains
- Ensure alignment to London Market data standards, minimising divergence across parallel workstreams
- Collaborate with solution / Data architects, data engineers, and business stakeholders to define consistent data structures and definitions
- Provide hands-on guidance to delivery teams to ensure data models are implemented consistently across platforms
- Contribute to data architecture governance, ensuring alignment with enterprise standards and architecture principles
- Identify and resolve potential data inconsistencies, duplication, and integration risks early in the delivery lifecycle
- Support ongoing alignment with future PAS and platform design, ensuring data models are adaptable and forward-looking
- Working with CDO to ensure data governance processes are followed and required metadata captured.
“It 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 I’ve been looking for.”
Jessica, London
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