Graduate Data Engineer
Role Summary
Join Quantum as a Graduate Data Engineer in London, where you'll gain hands-on experience building and maintaining data pipelines in a dynamic environment.
About the Organisation
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.
- Bachelor's degree in computer science, software engineering, data science, mathematics, or a related field (or similar qualification)
- Some exposure to coding, ideally Python or SQL, through your studies, projects or self-teaching, with a genuine eagerness to deepen it
- A keen eye for detail and a passion for getting data right, because small errors can make a big difference downstream
- Comfortable picking up new tools, platforms and technical concepts quickly
- Proactive and inquisitive, happy to ask questions and figure things out
- Organised and methodical in how you approach tasks and documentation
- 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!
Key Responsibilities
- Pipeline development: you'll help build and maintain the data pipelines that ingest, clean and move data across our systems, learning how reliable data flows are engineered
- Data integration: you'll support the onboarding of new data sources, writing and testing the logic that brings partner data into our platform cleanly and consistently
- Transformation and modelling: you'll apply transformations that turn raw data into structured, trustworthy datasets the wider business can use
- Monitoring and reliability: you'll help keep our ingestion pipelines running, flagging issues early and learning how we maintain the integrity of our data operations
- Quality assurance: whether it's checking for anomalies or validating schemas and formats, your attention to detail will keep our data trustworthy and actionable
- Automation and process improvement: you'll help identify and implement ways to streamline and scale our data processes, bringing more automation, speed and accuracy to the team
- Documentation: you'll capture and update data rules, pipeline logic and key processes to support operational clarity and team knowledge sharing
- You'll use your natural curiosity to stay up to date with engineering practices and tools, contributing fresh ideas to the team
Working Conditions
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 -----Find more English Speaking Jobs in United Kingdom on Arbeitnow
- 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
Requirements
- Bachelor's degree in computer science
- software engineering
- data science
- mathematics
Eligibility Criteria
Candidates with a Bachelor's degree in relevant fields and some coding experience are ideal, but visa sponsorship details remain unclear.
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