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WUNDERTALENT

Senior Data Engineer - £95K - Westminister (In Office)

London
£95k/yr
Posted about 19 hours ago
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Our Client

Our Client is building the operating system for a large, traditionally under-digitised UK services industry. Their AI platform automates the repetitive operational admin that eats up the majority of operators' time: managing communications, compliance, coordination, and scheduling.

We're already live with pilot customers managing over 14,000 units, with strong early demand as we scale toward revenue in 2026. Backed by experienced founders and investors, we're building toward a clear goal: the defining AI platform in our category

As the first senior data hire

You'll architect and scale the systems powering our client's AI products: from real-time pipelines and analytics infrastructure to vector databases and ML data workflows. You'll define data architecture, tooling, and engineering standards, working closely with AI and backend engineers, and lay the foundations for the future data te

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.

Duties

  • Architect and build scalable data pipelines and infrastructure for AI and product systems
  • Design data ingestion, transformation, and storage architectures
  • Build batch and real-time pipelines, plus vector search/retrieval systems for ML workflows
  • Own data reliability, security, governance, and observability
  • Shape long-term data strategy and mentor the team as we scale

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What You'll Bring

  • 7+ years in data engineering or backend roles
  • Strong Python; experience with distributed data systems
  • Relational DB experience (PostgreSQL preferred)
  • NoSQL
  • Exposure to vector databases (Qdrant, Milvus, pg vector)
  • Bonus: Spark/Airflow/Kafka, cloud (GCP/AWS/Azure), AI/ML platform experience, early-stage startup background

Why Join

  • Build the data foundations of a category-defining AI company
  • Work directly with founders and the core engineering team
  • Early-stage ownership, influence, and equity upside
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Skills

Python
Distributed Data Systems
PostgreSQL
NoSQL
Vector Databases
Qdrant
Milvus
Pgvector
Spark
Airflow
Kafka
GCP
AWS
Azure
Data Architecture
ML Data Workflows

Location

London, England, United Kingdom

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