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Harnham

Lead Data Engineer

City of London
£90k – £100k/yr
Posted 2 days ago
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Lead Data Engineer

Lead Data Engineer

£70,000 - £100,000 London (4 days onsite)

Take the helm of a high-growth AI-driven organisation, building and shaping an entire data platform from the ground up for our innovative product ecosystem.

About the Company

An ambitious early-stage technology business, specialising in cutting-edge automation through AI-powered tools. Our flagship product is an AI-driven assistant that optimises operational efficiencies in:

  • Communications
  • Maintenance
  • Compliance
  • Scheduling

The Role

As Lead Data Engineer, you’ll assume senior technical authority over the data stack—designing robust systems while developing scalable pipelines, frameworks, and AI/ML infrastructure.

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.

Key Responsibilities

  • Design, own, and refine end-to-end data architecture
  • Develop scalable batch and real-time data pipelines
  • Build ingestion, storage, and transformation frameworks
  • Create infrastructure to support AI and machine learning products
  • Ensure performance, reliability, and scalability of large datasets

This is a hands-on senior role—no management oversight required—where technical leadership directly shapes the company’s data strategy.


Skills & Experience

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The ideal candidate will demonstrate strong expertise in:

  • Python for data/backend engineering
  • Design and implementation of scalable distributed systems
  • Batch and streaming pipeline engineering
  • PostgreSQL or similar relational databases
  • NoSQL and modern vector databases (e.g., Qdrant, Milvus, pgvector)

Benefits

Competitive compensation of up to £100,000 (based on experience).

Apply now to join a dynamic cluster of AI and data pioneers—no external recruiters needed.


How to Apply Email your CV to Molly Bird via the apply link on the page.

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Skills

Python
Data Engineering
Data Architecture
Data Pipelines
PostgreSQL
NoSQL
Machine Learning
AI
Batch Processing
Streaming
Data Ingestion
Data Storage
Data Transformation
Scalability
Reliability
Performance

Location

City of London, England, United Kingdom

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