getSummary
Written in English from the original postingQuantum is hiring a Senior Data Engineer in London to build and maintain batch and streaming data pipelines for its QiCore data warehouse. The role includes migrating acquired business data, modeling data for analytics, monitoring pipeline health and data quality, and supporting future platform migrations. It requires production SQL, Python, and experience with GCP data services.
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 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.
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