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KDR Talent Solutions

Lead Data Engineer (GCP)

London
Posted about 21 hours ago
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Lead Data Engineer (GCP) | London (Hybrid)

KDR are working with a fast-growing technology business using AI and advanced data analytics to tackle complex challenges in scientific research and innovation.

They're looking for a Lead Data Engineer to take ownership of their Google Cloud data platform, joining a small, highly technical team working on products with meaningful real-world applications.

This is a great opportunity to join a business at an exciting stage of growth, where you'll have genuine ownership of the platform, significant influence over technical decisions and the opportunity to help shape the engineering function as it scales.

What you'll do

Own the Data Platform

Take responsibility for the development and ongoing improvement of their GCP data platform, ensuring it can support increasingly complex requirements.

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.

Build & Scale Data Pipelines

Design and develop robust data pipelines, working with large volumes of complex data from a variety of sources.

Shape Technical Direction

Influence architectural decisions, improve performance and scalability, and help establish best practices across the platform.

Lead & Mentor

Provide technical guidance to other engineers and play a key role in the future growth of the team.

Work Closely with Stakeholders

Collaborate with technical and non-technical teams to translate business requirements into scalable engineering solutions.

What they're looking for

  • Strong hands-on experience with GCP, BigQuery and Python.
  • Experience building and managing scalable, production-grade data platforms.
  • Good understanding of data architecture, performance optimisation and engineering best practices.
  • Comfortable taking ownership of technical decisions and working independently.
  • Strong communication skills and confidence working directly with stakeholders.
  • Experience with Airflow, Terraform or GKE would be beneficial.

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What's on offer

  • Competitive salary + benefits
  • Equity in a growing technology business.
  • Hybrid working in London.
  • Genuine technical ownership and the opportunity to help shape and grow the engineering team.

If you're an experienced GCP Data Engineer looking for more ownership, technical influence and the opportunity to work on technology with real-world impact, I'd be keen to have a chat.

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Location

London, England, United Kingdom

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