Join Quantum as a Graduate Data Engineer, building and maintaining data pipelines, integrating data sources, and supporting scalable data infrastructure.Our CompanyAt 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 RoleAs a Data Engineering Graduate, you'll be an integral part of our Data Engineering team. From day one, you'll gain hands-on experience, taking on meaningful responsibility, and making a tangible impact. This role is ideal for someone who likes building things that last and wants to learn how reliable data infrastructure is designed, built and maintained at scale.Key ResponsibilitiesPipeline 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 engineeredData integration: you'll support the onboarding of new data sources, writing and testing the logic that brings partner data into our platform cleanly and consistentlyTransformation and modelling: you'll apply transformations that turn raw data into structured, trustworthy datasets the wider business can useMonitoring and reliability: you'll help keep our ingestion pipelines running, flagging issues early and learning how we maintain the integrity of our data operationsQuality assurance: whether it's checking for anomalies or validating schemas and formats, your attention to detail will keep our data trustworthy and actionableAutomation 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 teamDocumentation: you'll capture and update data rules, pipeline logic and key processes to support operational clarity and team knowledge sharingYou'll use your natural curiosity to stay up to date with engineering practices and tools, contributing fresh ideas to the teamAbout YouBachelor'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 itA keen eye for detail and a passion for getting data right, because small errors can make a big difference downstreamComfortable picking up new tools, platforms and technical concepts quicklyProactive and inquisitive, happy to ask questions and figure things outOrganised and methodical in how you approach tasks and documentationYou thrive when working as part of a teamComfortable in a fast-paced environmentHave excellent written and verbal English skillsLast but not least, you'll have no ego!What You’ll GetPrivate Health Care (Bupa)Hybrid Working (3 days in office)Travel InsuranceCompetitive Base SalaryCompany Bonus SchemePaid for AI Subscription (Claude / ChatGPT / Gemini)Market-Leading Training ProgrammeRecognition & Reward SchemeAnnual Company ConferenceRegular Happy Hours & Team LunchesFree Coffee, Drinks & Snacks
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