Senzo Group
Senior Rust Engineer

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Senior Rust Engineer | Real-Time Data | Low Latency | Remote
Own the data processing core at a fast-scaling fintech
Remote (UK, Europe, or Dubai timezone)
Our client builds a B2B SaaS data platform used by financial services firms to process and act on time-sensitive market information at speed. They are scaling fast off the back of significant new investment, and this is one of the most important hires they have made.
They are looking for a Senior Rust Engineer to own and evolve the heart of the platform: the path from exchange and broker data, through a shared calculation engine, out to clients in near real time. This is not a feature delivery role. It is a role for someone who thinks about data processing as a system, and has the depth to look at how data is ingested, partitioned, transformed, and distributed today and tell the team where it needs to go next as the platform scales.
The defining technical challenge is consistency at low latency. Derived values off live market data need to push to clients on a tight cycle with strict consistency guarantees. When a client takes a snapshot, everything must reconcile. Getting that right, repeatedly, under load, is the core of the job.
The team is early enough in the journey that the person coming in will genuinely shape the architecture. Most of the Clojure-to-Rust migration is complete, so the work now is scaling, hardening, and building new greenfield services rather than rewriting legacy. Individual decisions still matter here in a way they simply do not at a larger company.
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
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.
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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.
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.
The business is in great shape, with a strong client base, and far lower risk than a brand new startup.
What you'll be doing
- Owning the data processing core, designing, building, and hardening the Rust services and pipelines that ingest market data, run the calculation engine, and distribute results to clients
- Guaranteeing consistency, ensuring derived data is internally consistent at the point clients consume it, correct ordering, clean snapshot boundaries, no partial state leaking through
- Shaping the streaming architecture, taking a critical eye to Kafka usage, partitioning strategies, ordering guarantees, consumer scaling, backpressure, and throughput
- Hitting and holding latency budgets, making tail latency a first-class concern rather than an afterthought
- Setting technical direction in your area, reviewing thoughtfully, and raising the bar for the engineers around you
- Building for operability, if it cannot be monitored and reasoned about under pressure, it is not done
What we're looking for
- Deep, production-proven Rust expertise. You have built and shipped Rust in performance-sensitive, concurrent systems and are comfortable reasoning about ownership, async, and memory behaviour at scale
- Real-time data processing background, where data has to move fast and arrive correct. You understand the trade-offs between latency, throughput, and consistency rather than treating them as buzzwords
- Kafka experience (or comparable platforms such as Pulsar or Kinesis). You do not need to be an expert but you must have genuine hands-on exposure, ideally including partitioning strategies, consumer groups, ordering semantics, and scaling. The team has complex interdependencies between data that make naive partitioning approaches unworkable, so depth here matters
- A systems thinker who does not stop at "it works." You think about how things behave at scale, how they fail, and how they are observed


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Areas of flexibility
- Industry background: financial markets and sportsbook/betting are the most directly relevant, but adjacent domains with genuine low-latency, high-consistency experience (ad-tech, telco billing, real-time fraud detection, legitimate crypto/trading infrastructure) are open
- Database layer: Aurora PostgreSQL and QuestDB are in the stack but prior experience with either is not a hard requirement
- Polyglot comfort: the team also runs Clojure and Java, so JVM familiarity is a plus but not essential
- Cloud: AWS is the primary cloud but equivalent experience elsewhere is acceptable given how thin the Rust pool is
Location
Fully remote. UK-based candidates preferred, but candidates based elsewhere in Europe or Dubai are welcome provided they can work within a compatible timezone.
Interested? Drop me a message and I'll share more context on the business and the role.
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