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Markin

Senior Data Engineer, Real-time

London
Posted 1 day ago
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About The Role

Every model we run is only as good as the signal reaching it. You will own the real-time layer: ingestion, feature computation, and the contracts that keep the rest of the platform honest.

What you'll do

  • Design and operate streaming pipelines (Kafka, Flink or equivalent) at enterprise volume.
  • Own the online feature store: freshness, correctness, cost.
  • Codify schemas and contracts across producers and consumers.
  • Debug the hard, distributed, midnight kind of problems.

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

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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

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 we're looking for

  • 5+ years in data engineering, with meaningful time on real-time systems.
  • Fluency with Kafka/Flink/Spark Streaming and modern lakehouse tooling.
  • Strong software engineering fundamentals, you write code others can rely on.

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Nice to have

  • Experience with feature stores (Feast, Tecton) in production.
  • Comfort with Rust or Go for hot-path services.
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Skills

Kafka
Flink
Spark Streaming
Data Engineering
Lakehouse Tooling
Software Engineering
Rust
Go
Feature Stores
Distributed Systems

Location

London, England, United Kingdom

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