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Quantum (quantum.media)

Senior Data Engineer

Posted 4 Days Ago
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Hybrid
London, Greater London, England, GBR
Senior level
Hybrid
London, Greater London, England, GBR
Senior level
Build and maintain batch and streaming data pipelines for the QiCore warehouse. Migrate acquired-business data, model datasets for analytics and reporting, and ensure reliability through monitoring, testing, governance, and data-quality practices. Support platform migrations and future acquisitions by creating repeatable processes. The role requires production SQL and Python, GCP ecosystem experience, cloud data-platform expertise, orchestration, version control, and collaborative engineering practices.
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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 Senior 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

  • Proven experience working with GCP and the Google ecosystem (BigQuery, Pub/Sub, Dataproc, Cloud Storage, etc.)

  • 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 (Vitality)

  • 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].

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