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Dex

Member of Technical Staff - Data Engineer (up to £200k)

London
£200k/yr
Posted 1 day ago
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About the Role

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

If you're interested sign up to Dex to apply.

Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.

The Role

Most AI systems train on static data. This lab builds resettable, interactive digital environments where frontier AI agents learn by actively operating real software, failing, and iterating. Behind these environments sits a massive engineering bottleneck: ingesting, sanitising, and serving large, chaotic real-world datasets so models can train on them reliably. Backed by top-tier investors and collaborating closely with leading AI research labs, they are early enough that foundational data architecture is still being built from scratch rather than maintained.

You will join as a Member of Technical Staff owning core data systems from initial problem definition through production operations. This is not a business intelligence or dashboarding role, nor is it a hands-off architecture seat or pipeline-wrangling gig configuring off-the-shelf tooling. You will write production code, debug complex distributed systems across platform and AI engineering boundaries, and design the validation, sanitisation, and ingestion infrastructure powering next-generation agent training.

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.

The Work

  • Architect, build, and operate scalable distributed systems to acquire, ingest, and process massive, unstructured datasets for agent training environments.
  • Design and implement automated data quality, validation, sanitisation, and PII-handling pipelines resilient to adversarial and messy real-world data.
  • Make foundational trade-offs across storage tiers, query performance, reliability, observability, and infrastructure cost without being tied to a fixed vendor stack.
  • Partner directly across platform, software, and AI research teams to establish platform-wide architectural patterns rather than solving dataset problems as one-off tickets.

What You Bring

  • Proven track record of owning substantial production data systems end to end, with clear personal accountability for architecture, implementation, and operational outcomes rather than just configuring existing ETL tools.
  • Strong, recent hands-on software engineering fundamentals, with the ability to go deep into unfamiliar codebases and debug distributed systems failure modes.
  • Demonstrated experience tackling large, complex, or messy datasets, with the ability to articulate exact failure modes, trade-offs, and architectural alternatives.
  • Comfort operating in high ambiguity: taking an unformed problem, deciding what to build, and executing without a detailed specification.
  • Based in or willing to work with engineering teams in London or Paris.

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Why Apply Through Dex

AI data engineering roles are currently flooded with generic analytics seats masquerading as frontier research infrastructure. Dex cuts through the noise, matching you directly with high-signal technical teams building foundational AI platforms without resume black holes. Sign up once, skip cold applications, and get fully briefed on team scope and architectural context before your first interview.

If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/e5cad80b-54dd-4c52-967c-1a8a2922df6e

As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.

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Location

London, England, United Kingdom

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