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Insight International (UK) Ltd

Snowflake Architect

London
Posted about 16 hours ago
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Role: Snowflake Architect

Location: London, UK (Hybrid)

Employment type: Contract

Required Skills & Experience

Technical Expertise

  • Strong experience in Snowflake architecture and enterprise data platforms.
  • Hands-on expertise with:
    • DBT (Cloud/Core)
    • Data ingestion tools such as Fivetran, HVR, or similar technologies
    • Advanced SQL and data modelling techniques
  • Experience designing, implementing, and managing cloud-native data platforms on AWS or Azure.
  • Strong understanding of modern data warehousing patterns, including:
    • Data Vault
    • Kimball Methodology
    • Lakehouse Architecture

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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.

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Strong

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Leadership & Delivery

  • Proven experience leading Data Engineering teams and delivering large-scale data transformation programs.
  • Strong stakeholder management skills across Business, Finance, and Technology functions.
  • Experience working within Agile and DevOps environments, including CI/CD practices and automation.

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Domain Experience

  • Experience within Financial Services or Insurance data environments is highly preferred.
  • Understanding of financial data models and reporting structures, including:
    • Profit & Loss (P&L)
    • Regulatory Reporting
    • Enterprise Reporting Datasets
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Skills

Snowflake Architecture
DBT
Fivetran
HVR
SQL
Data Modelling
AWS
Azure
Data Vault
Kimball Methodology
Lakehouse Architecture
Data Engineering Leadership
Stakeholder Management
Agile
DevOps
CI/CD

Location

London, England, United Kingdom

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