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Data Architect

London · London, England, United Kingdom

Pay
Pay not listed
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Technology › Data Engineering & AI — team source
Department: Technology › Data Engineering & AI
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require sponsorship to work in the UK?
From the employer’s application form
Apply at Quantum

What you’ll work on

Full posting
  • Own the target architecture for QiCore and act as design authority for builds in it

  • Set approaches for customer identity, PII, consent, retention and access controls

  • Lead the migration of Rewards into the warehouse and single customer view

  • Define modelling, governance and data quality standards and review work against them

  • Prototype pipelines and lead a small team of data engineers

From the employer’s posting
Own the target architecture for QiCore and act as design authority for every build that lands in it
Establish clear approaches to customer identity, PII, consent, data classification, retention and access controls
Lead the migration of Rewards into our warehouse and single customer view
Define the modelling, governance and data quality standards our engineers build to, and review work against them before it ships
Stay hands-on: prototype pipelines, unblock engineers on daily design questions and lead a small team of data engineers

What you’ll bring

All qualifications

Core experience

  • Strong understanding of PII, data privacy, access control and governance, with experience designing solutions for both identifiable and anonymous/pseudonymous customer data
  • Deep knowledge of big data platforms, ETL and ELT patterns, and data governance frameworks
  • Experience consolidating acquired businesses or legacy platforms into a single data model
Qualification wording
Strong understanding of PII, data privacy, access control and governance, with experience designing solutions for both identifiable and anonymous/pseudonymous customer data
Deep knowledge of big data platforms, ETL and ELT patterns, and data governance frameworks
Experience consolidating acquired businesses or legacy platforms into a single data model

Tools in this posting

  • Python
  • SQL
Source — Tool mentions in context
- Proven enterprise or data architecture experience, with a warehouse or lakehouse you designed running in production - Hands-on data engineering: you still write SQL and Python, and can build and debug pipelines yourself - Strong understanding of PII, data privacy, access control and governance, with experience designing solutions for both identifiable and anonymous/pseudonymous customer data

Posting record

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Status in our records
Live
First seen by us
Oct 23, 2026 · 6 days ago
Recorded sightings
9
Last seen by us
Oct 29, 2026
Reposted
once since Sep 30, 2026

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Job description

View original posting ↗

Our Company
At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.

Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions.

We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.

With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We’ve helped ambitious brands grow faster, smarter, and globally.

The Role

Our Data Engineering & AI team is growing! We’re looking for a Data Architect to join our team in London.

In this role you will set the design principles for our data platform and make sure everything we build lives up to them. You’ll own the architecture of QiCore, our new data warehouse, bring acquired businesses into it cleanly and lay the foundations our AI plans depend on.

Key Responsibilities

  • Own the target architecture for QiCore and act as design authority for every build that lands in it

  • Establish clear approaches to customer identity, PII, consent, data classification, retention and access controls, working with relevant security, privacy and governance stakeholders.

  • Lead the migration of Rewards into our warehouse and single customer view, then turn it into a repeatable pattern for future acquisitions

  • Define the modelling, governance and data quality standards our engineers build to, and review work against them before it ships

  • Stay hands-on: prototype pipelines, unblock engineers on daily design questions and lead a small team of data engineers

  • Translate business needs into data design with Tech, Analytics and commercial teams, so the platform is ready for our AI ambitions

About You

  • Proven enterprise or data architecture experience, with a warehouse or lakehouse you designed running in production

  • Hands-on data engineering: you still write SQL and Python, and can build and debug pipelines yourself

  • Strong understanding of PII, data privacy, access control and governance, with experience designing solutions for both identifiable and anonymous/pseudonymous customer data

  • Deep knowledge of big data platforms, ETL and ELT patterns, and data governance frameworks

  • Experience consolidating acquired businesses or legacy platforms into a single data model

  • High standards for quality, and the clarity to explain design trade-offs to engineers and non-technical stakeholders

  • You thrive when working as part of a team

  • Comfortable in a fast-paced environment

  • Have excellent written and verbal English skills

  • Last but not least, you’ll have no ego!

What You’ll Get

  • Private Health Care (Bupa)

  • Hybrid Working (3 days in office)

  • Travel Insurance

  • Competitive Base Salary

  • Company Bonus Scheme

  • Paid for AI Subscription (Claude / ChatGPT / Gemini)

  • Market-Leading Training Programme

  • Recognition & Reward Scheme

  • Annual Company Conference

  • Regular Happy Hours & Team Lunches

  • Free Coffee, Drinks & Snacks

What’s the next step?

Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.

If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at careers@quantum.media.

Source details

View original posting ↗

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Pay

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Location & working pattern

London, England, United Kingdom

- Private Health Care (Bupa) - Hybrid Working (3 days in office) - Travel Insurance
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