Back to jobs

Data Engineer

London, England, United Kingdom

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Quantum Computing Inc

What you’ll work on

Full posting
  • In this role you will build and run the pipelines behind QiCore, our new data warehouse.

  • Build, test and maintain batch and streaming pipelines into QiCore to agreed engineering standards

  • Monitor pipeline health and data quality, fixing issues at the root rather than patching symptoms

From the employer’s posting
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
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

What you’ll bring

All qualifications

Core experience

  • Experience building ETL or ELT pipelines on a modern cloud warehouse or big data platform
Qualification wording
Experience building ETL or ELT pipelines on a modern cloud warehouse or big data platform

Tools in this posting

  • SQL
  • Python
Source — Tool mentions in context
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

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 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

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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

London, England, United Kingdom

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

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Sep 30, 2026
Recorded sightings
3
Last seen by us
Oct 9, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.