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ea Change

Data Engineer

United Kingdom
£450/day
Posted about 16 hours ago
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Senior Snowflake Data Engineer — London Market Insurance

12 Months | Fully Remote (UK) | Up to £450/day

A London Market insurer is expanding its Snowflake capability and needs a senior data engineer to help build out the enterprise data platform. This isn't a greenfield-only build or a pure lift-and-shift; it's a mix of both, with real business consumption across Underwriting, Claims, Finance, Portfolio Management, and Delegated Authority.

The details:

  • Rate: Up to £450/day
  • IR35: Inside IR35 via an umbrella company
  • Length: 12 months initial
  • Location: fully remote, 5 days
  • Start: ASAP
  • Structure: 3-week sprints, daily stand-ups, reporting into the Data Engineer Lead

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.

Start with a chat, not a search bar

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.

P

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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It searches the market for you

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.

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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

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 you'll actually be doing:

  • Designing and building Snowflake pipelines and ELT processes.
  • Modelling across Raw, Curated and Gold layers.
  • Performance tuning and cost optimisation.
  • Building automated data quality, reconciliation and monitoring.
  • Ingesting policy, premium, claims, bordereaux, delegated authority and finance data via Azure Data Factory.
  • Supporting the migration and reconciliation off the legacy on-prem warehouse.
  • Semantic models feeding Power BI.

What you will need:

  • 2+ years hands-on production Snowflake — Tasks and Streams, secure views, data sharing, RBAC, cost optimisation, metadata management
  • 5+ years London Market insurance. This is non-negotiable. You need to understand UMRs, bordereaux, the difference between Lloyd's and company market operations, and how premium and claims data actually behaves
  • Strong SQL, Azure Data Factory, enterprise ETL/ELT
  • Dimensional and star schema modelling
  • DevOps/CI-CD for Snowflake deployments

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Who this suits:

Someone who's done Snowflake engineering inside a syndicate or managing agency and can talk to an underwriter without a translator. If you've got the Snowflake but no London Market, this one isn't for you.

Message me directly or apply here.

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Skills

Snowflake
Azure Data Factory
SQL
ETL/ELT
Dimensional Modelling
Star Schema
DevOps
CI-CD
Power BI
Data Quality
Performance Tuning
Cost Optimisation
London Market Insurance
Bordereaux
RBAC
Metadata Management

Location

United Kingdom

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