Data Engineer
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
What you’ll work on
Full postingBuild, test and maintain batch and streaming pipelines into QiCore
Migrate Rewards data into the warehouse and single customer view
Model data for analytics and reporting to the team's architecture and governance principles
Monitor pipeline health and data quality, fixing issues at the root
Support future acquisitions and platform migrations as repeatable processes
From the employer’s posting
Build, test and maintain batch and streaming pipelines into QiCore
Migrate Rewards data into our warehouse and single customer view
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 qualificationsCore experience
- Several years of hands-on data engineering
- 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
Qualification wording
Several years of hands-on data engineering, writing production SQL and Python
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
Tools in this posting
- Python
- SQL
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 23, 2026 · 5 days ago
- Recorded sightings
- 8
- Last seen by us
- Oct 28, 2026
- Reposted
- once since Sep 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
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.
Source details
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- 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.
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