hirly

Quantum

Data Architect

London

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hirly's read of this role

Seniority
Mid level
Country
GB
Work mode
On-site / unstated
First seen by hirly
29 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the 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 [email protected].

Original posting on Quantum's site ↗

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