Harrington Starr
Data Engineer

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Data Engineer | Crypto HFT | London | Onsite
I’m currently partnering with one of the most technically impressive firms in the crypto trading space as they look to hire a Data Engineer to join their growing team in London.
This is an opportunity to join a high-frequency trading firm whose proprietary market data infrastructure has evolved into one of the leading crypto market data products on the market. Originally built to support their own trading operation, the platform is now trusted by external clients who rely on fast, accurate, and reliable market data.
They’re looking for an engineer who enjoys solving complex data problems where latency, quality, and resilience genuinely matter.
The Role
You’ll take ownership of the pipelines responsible for transforming raw exchange feeds into production-grade market data.
Working directly alongside a highly experienced engineering team, you’ll be responsible for building, improving, and maintaining critical infrastructure that powers both internal trading systems and client-facing products.
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.
See breakdownIt 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.
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.
Key Responsibilities
- Build and maintain data ingestion pipelines across centralised and decentralised exchanges using WebSocket, REST, and on-chain data.
- Design resilient systems capable of handling changing exchange behaviour and maintaining data integrity.
- Develop processes for normalisation, reconciliation, deduplication, schema management, and gap detection.
- Own storage, historical datasets, APIs, and market data delivery infrastructure.
- Build monitoring and alerting solutions to ensure exceptional data quality.
- Optimise performance across latency-sensitive services, including components written in Rust.
What They’re Looking For
- 2-4 years’ experience building production-grade data infrastructure.
- Strong Python and Rust development experience.
- Experience working with Polars.
- Strong SQL and excellent attention to data quality.
- Experience with AWS and distributed systems.
- A naturally curious engineer who enjoys solving difficult technical challenges in a collaborative environment.


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Desirable Experience
- Crypto, electronic trading, market making, or high-frequency trading.
- Knowledge of market microstructure or order books.
- Kafka, Redpanda, NATS, or other streaming technologies.
- ClickHouse, kdb+, Apache Arrow, or Parquet.
- Terraform and CI/CD.
The Environment
This is a small, highly technical team where engineers have genuine ownership from day one. There are no unnecessary layers of management, and your work will quickly have a direct impact on both the business and its clients.
The company works onsite in London five days a week, believing that close collaboration delivers the best outcomes for complex engineering challenges.
Location: London (Onsite)
If you’re interested in building low-latency data infrastructure at the heart of one of the most sophisticated crypto trading businesses in the market, I’d be happy to tell you more.
Feel free to apply directly or send me a message for a confidential conversation.
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