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Harnham

Lead Data Engineer (Kafka/Kinesis)

London
£90k – £100k/yr
Posted about 24 hours ago
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Lead Data Engineer

Up to £100,000
*Kafka or Kinesis required
London (4 days onsite)

This is a great opportunity to join a high-growth organisation where you can take ownership of building and architecting a greenfield data platform for an AI-driven product.

THE COMPANY:

This is an early-stage, venture-backed company building the operating system for modern property management through its AI platform.

THE ROLE:

You will take ownership of the entire data architecture, acting as the most senior individual contributor within Data Engineering. This is a hands-on leadership role focused on technical ownership rather than people management.

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.

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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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

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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 include:

  • Designing and owning the company's data architecture from the ground up
  • Building scalable batch and real-time data pipelines
  • Developing data ingestion, storage, and transformation frameworks
  • Supporting AI and machine learning infrastructure, including vector search systems
  • Implementing data quality, monitoring, and observability practices
  • Collaborating closely with AI, backend engineering, and product teams
  • Optimising performance, scalability, and reliability of large datasets
  • Influencing long-term technical strategy and laying foundations for the data function

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YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

  • Python development and building scalable distributed data systems
  • Data architecture design and pipeline development
  • Batch and streaming data processing
  • Relational databases (PostgreSQL or similar)
  • NoSQL and modern vector databases (e.g., Qdrant, Milvus, pgvector)

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Skills

Python
Data Architecture
Pipeline Development
Batch Processing
Streaming Data Processing
Relational Databases
NoSQL
Vector Databases

Location

London, England, United Kingdom

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