Senior Data Engineer

Quantum
London, United Kingdom
Hybrid

Who this role is best for

A natural match if you have experience with cloud data platforms and data governance.

Best fit for

  • Candidates with experience in ETL/ELT pipeline development and cloud data platforms like GCP
    — “Experience building ETL or ELT pipelines on a modern cloud warehouse or big data platform”
  • Candidates who have worked on data migration projects and prioritize data quality
    — “Migrate Rewards data into our warehouse and single customer view, keeping reporting running throughout”
  • Candidates who value collaboration and are comfortable with code reviews and version control
    — “Comfortable with orchestration and version control, and with reviewing and being reviewed”

Things to consider

  • Must be available for 3 days in-office per week in London
    — “Hybrid Working (3 days in office)”
  • Requires working with regulated and high-growth sectors, which may involve compliance considerations
    — “We drive confident decisions and growth in regulated and high-growth sectors”

How to stand out

  • Highlight your experience with GCP and data governance in your resume and interview answers
    — “Proven experience working with GCP and the Google ecosystem”
  • Showcase your teamwork and adaptability in fast-paced environments
    — “You thrive when working as part of a team”
  • Demonstrate your focus on root-cause problem-solving in data pipeline maintenance
    — “Monitor pipeline health and data quality, fixing issues at the root rather than patching symptoms”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • build and maintain data pipelines
  • migrate data into a warehouse
  • model data for analytics
Typical background
several years of hands-on data engineering experience

Skills & requirements

Required

Data EngineeringETL PipelinesCloud Data WarehousesSQLPythonData GovernanceOrchestrationVersion Control

Preferred

Google Cloud PlatformBigQueryPub/subDataprocCloud Storage

Stack & domain

PythonSQLETLELTGCPBigQueryPub/subDataprocCloud StorageLeadershipCommunicationTeamworkProblem-solvingData EngineeringCloud ComputingData GovernanceData Quality

About the role

Original posting from Quantum via Ashby

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 careers@quantum.media.

Source: Quantum careers (Ashby)

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