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Head of Data Platform

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: relaytech.co
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Overview

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen

Relay’s Mission is to free commerce from friction
. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people
, making the online shopping experience seamless and accessible to everyone.

The Team

~90 people
, more than half in engineering, product and data


45+ advanced degrees across computer science, mathematics and operations research


Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle

• An intellectually vibrant culture of first‑principles thinking
, tight feedback loops and relentless experimentation

The Opportunity

Relay's network generates data at every touchpoint. Couriers, routes, parcels, sortation, pricing, demand signals. That data is the raw material for every decision the business makes, and increasingly, for the AI systems that make decisions autonomously.

As Head of Data Platform, you will own the infrastructure that turns raw data into usable signal. That means the transformation layer (dbt), the semantic layer (Cube), the pipelines that feed them, and the standards that make the output trustworthy. You will be responsible for data being ready for human analysts, for dashboards, for ML models, and for agents that act without human review.

This is a foundational leadership role where you will inherit a high-performing engine. The platform already powers critical decision-making across every department, underpinned by a mature dbt architecture, a semantic layer with rigorous naming conventions, and a workflow where the team has successfully leveraged AI to drive exceptional productivity. Your challenge is to take this 'V1' success and scale it into a global-class platform that remains the single source of truth as our complexity grows.

You will lead a team of data and analytics engineers who are deeply technical and take immense pride in their craft. They are highly autonomous and possess a clear vision for what 'good' looks like. What they need is someone who can set strategic direction, prioritise across competing demands, and represent the platform's interests at leadership level. You will work closely with Engineering to shape how upstream systems produce data, not reactively cleaning up after them.

This role reports to the Director of Data.

What You ll Do
  • Own the data platform roadmap: transformation, semantic layer, orchestration, and the tooling that makes the team fast

  • Lead and grow a team of senior analytics engineers, setting technical standards and creating space for them to do their best work

  • Partner with Engineering to define contracts and expectations for how data is produced at source

  • Set the self-serve strategy: make data accessible to analysts, PMs, and operators without bottlenecking on your team

  • Extend the platform for automated and AI-driven systems:
    Ensure data is structured for programmatic action, with an uncompromising focus on accuracy and observability so that agents act on a foundation of absolute trust.

  • Own strategy for emerging data types: unstructured data, telematics, real-time signals

  • Represent the platform in leadership discussions, translating technical constraints into business terms

Who Will Thrive in This Role?
  • You ve led analytics engineering or data platform teams before, and you re comfortable with both the technical depth and the people leadership

  • You re a player-coach: you can review a dbt PR, debug a performance issue, and then context-switch to a prioritisation discussion with a VP

  • You think in systems: how data flows, where quality breaks down, what contracts need to exist between teams

  • You re pragmatic about standards. You know when to enforce and when to flex

  • You re comfortable with strong individual contributors and can create alignment without micromanaging

  • You ve worked in…

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