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Burns Sheehan

Lead Data Engineer

London
£700 – £800/day
Posted about 15 hours ago
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Lead Data Engineer

Rate: £700 to £800

IR35: Outside IR35

Contract: 12 months

Location: Remote UK, with one engineering day per month near Tottenham Court Road, London

Engagement: Ltd company contractors only. The client will not engage contractors through umbrella companies.


About the Role

We are looking for a hands-on Lead Data Engineer to establish and shape a new data engineering squad for a major consumer technology business.

This is an opportunity for an experienced contract lead to take ownership of a genuinely greenfield and ambiguous problem space. The business works with a broad ecosystem of external partners across retail, travel, transport, and consumer services, each with different systems, technical capabilities, and approaches to exchanging data.

The goal is to create a more consistent and scalable way of onboarding partners, ingesting and exchanging data, and supporting secure data-sharing capabilities between organisations.

The Contract

The Data Exchange squad is being rebuilt and will initially be small. You will work closely with product, architecture, and engineering leadership to define how the team should operate and what the platform should become.

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?

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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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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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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.

You will be responsible for:

  • Shaping the technical direction of the Data Exchange platform
  • Designing and building Python-based data services
  • Creating repeatable approaches to partner onboarding and integration
  • Designing scalable data ingestion and exchange capabilities
  • Supporting data-sharing use cases between external organisations
  • Exploring capabilities such as data clean rooms
  • Guiding engineers through architecture, design, and delivery decisions
  • Working with product to turn loosely defined requirements into deliverable features
  • Remaining hands-on across technical discovery, proof-of-concepts, and implementation
  • Establishing engineering standards without over-engineering the solution

This is not a coordination-only leadership position. The squad will be lean, so you will need to contribute directly while acting as the first point of technical escalation for the engineers around you.

What We Are Looking For

  • Strong commercial Python engineering experience
  • A strong background in data platform or platform engineering
  • Previous experience as a Lead Data Engineer, Tech Lead, Staff Engineer, Principal Engineer, or hands-on Engineering Manager
  • Experience designing data ingestion, integration, or data-sharing platforms
  • Comfortable working through ambiguity and shaping new engineering teams
  • Strong architecture and systems-design fundamentals
  • Able to work effectively with product managers and non-technical stakeholders
  • Experience guiding senior engineers while continuing to contribute hands-on
  • A pragmatic approach to standardisation, scalability, and delivery
  • Databricks experience would be useful, but is not essential
  • Interest in AI-assisted engineering and agentic development workflows

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Experience using OpenSpec, specification-driven engineering, or other agentic frameworks would be a significant advantage. The organisation is actively investing in these ways of working and already has internal playbooks in place.

The Interview

The interview will be a practical technical discussion with senior data leadership and is likely to run slightly longer than one hour.


Please note that the client will only engage contractors operating through their own Ltd company. Applications from contractors requiring an umbrella company cannot be considered.

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Skills

Python
Data Engineering
Data Platform
Data Ingestion
Data Integration
Data Sharing
Architecture
Systems Design
Technical Leadership
Scalability
Databricks
AI-assisted Engineering
OpenSpec
Specification-driven Engineering

Location

London, England, United Kingdom

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