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Hunter Bond

Senior Data Engineer

London
£750/day
Posted about 14 hours ago
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Senior Snowflake Data Engineer (Data Vault & dbt)

London (Hybrid)

£750 per day Inside IR35

6-month rolling contract (long-term programme)

I'm currently working with a Global Financial Services organisation undertaking a major investment into its enterprise data platform.

This is a highly technical, hands-on Data Engineering role with a strong emphasis on Snowflake, Data Vault 2.0 and dbt. The focus is on building scalable, governed enterprise data products rather than platform ownership or infrastructure engineering.

The successful candidate will play a key role in designing and implementing enterprise data models, developing robust transformation frameworks and delivering trusted data products across a complex business environment.

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

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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Key Responsibilities:

  • Design and implement Data Vault 2.0 models across enterprise datasets
  • Build and maintain dbt projects covering transformation, testing and documentation
  • Develop scalable ELT pipelines within Snowflake
  • Create reusable business data models and curated data products
  • Implement automated testing, data quality and reconciliation frameworks
  • Optimise Snowflake performance and storage efficiency
  • Integrate data from multiple internal and external source systems
  • Collaborate with architects, data teams and business stakeholders to deliver enterprise data solutions

Key Skills:

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  • Strong commercial Snowflake experience
  • Strong dbt experience
  • Hands-on Data Vault 2.0 implementation experience
  • Strong SQL skills
  • Python data engineering experience
  • Experience with dimensional modelling
  • Snowflake optimisation and performance tuning
  • Automated testing and data quality frameworks
  • Git and modern development practices
  • Exposure to Airflow or Dagster

This role would suit someone who enjoys working deep within the Snowflake, dbt and Data Vault ecosystem and wants to help shape enterprise-scale data products within a long-term transformation programme.

If interested, please apply or contact me directly for further information.

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Location

London, England, United Kingdom

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