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Quantum

Data Engineer

London
Level
Mid
Work type
Hybrid · London

Not stated in the posting: salary, visa.

Open. First seen 3 October 2026.

Apply on the company's site →

About the role

Quantum's standard text

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 team is growing! We’re looking for a Data Engineer to join our team in London.

In this role you will build and run the pipelines behind QiCore, our new data warehouse. You’ll bring acquired businesses like Rewards into one platform and make sure the data the business runs on is reliable, governed and built to last.

Key Responsibilities

  • Build, test and maintain batch and streaming pipelines into QiCore to agreed engineering standards
  • Migrate Rewards data into our warehouse and single customer view, keeping reporting running throughout
  • Model data for analytics and reporting, working to the architecture and governance principles the team sets
  • Monitor pipeline health and data quality, fixing issues at the root rather than patching symptoms
  • Support future acquisitions and platform migrations, turning each one into a faster, repeatable process

About You

  • Several years of hands-on data engineering, writing production SQL and Python
  • Experience building ETL or ELT pipelines on a modern cloud warehouse or big data platform
  • Working knowledge of data governance, testing and data quality practices
  • Comfortable with orchestration and version control, and with reviewing and being reviewed
  • High standards for quality, with a can-do attitude when priorities shift
  • 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
Quantum's standard text

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.

What this role asks for

Standard for data engineering roles

Data Warehousing · ETL · Python

Common in data engineering postings at any company.

In most of Quantum's ads

SQL

Named in most of its open postings, whatever the role.

62% of this description is written for the role. The rest is Quantum's standard text, folded away below.

Read against Quantum's other open postings on this site.

The team: Data Engineering & AI

This role is one of 3 open in Data Engineering & AI. 3 were posted in the last 30 days.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Data Warehousing (2 of 3), ETL (2 of 3), Python (2 of 3), SQL (2 of 3)

OTHER ROLES ON THIS TEAM

From the team and dates on Quantum's own job board.

Salary context

67 other open postings titled Data Engineer state a salary: median USD 130,000 to USD 180,000 a year.

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