{"id":1462849,"url":"https://alion.io/job/quantum-data-engineer","title":"Data Engineer","company":{"id":456063,"name":"Quantum","domain":"quantum.media","url":"https://alion.io/company/quantum-7","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":173000,"period":"year","method":"role_country_seniority_unknown","sample_n":93},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T11:11:21Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-01T18:06:12Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Our Company\n At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.\nOur 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.\nWe 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.\nWith 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.\nThe Role\nOur Data Engineering team is growing! We’re looking for a Data Engineer to join our team in London.\nIn 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.\nKey Responsibilities\nBuild, test and maintain batch and streaming pipelines into QiCore to agreed engineering standards\n\nMigrate Rewards data into our warehouse and single customer view, keeping reporting running throughout\n\nModel data for analytics and reporting, working to the architecture and governance principles the team sets\n\nMonitor pipeline health and data quality, fixing issues at the root rather than patching symptoms\n\nSupport future acquisitions and platform migrations, turning each one into a faster, repeatable process\n\nAbout You\nSeveral years of hands-on data engineering, writing production SQL and Python\n\nExperience building ETL or ELT pipelines on a modern cloud warehouse or big data platform\n\nWorking knowledge of data governance, testing and data quality practices\n\nComfortable with orchestration and version control, and with reviewing and being reviewed\n\nHigh standards for quality, with a can-do attitude when priorities shift\n\nYou thrive when working as part of a team\n\nComfortable in a fast-paced environment\n\nHave excellent written and verbal English skills\n\nLast but not least, you’ll have no ego!\n\nWhat You’ll Get\nPrivate Health Care (Bupa)\n\nHybrid Working (3 days in office)\n\nTravel Insurance\n\nCompetitive Base Salary\n\nCompany Bonus Scheme\n\nPaid for AI Subscription (Claude / ChatGPT / Gemini)\n\nMarket-Leading Training Programme\n\nRecognition & Reward Scheme\n\nAnnual Company Conference\n\nRegular Happy Hours & Team Lunches\n\nFree Coffee, Drinks & Snacks\n\nWhat’s the next step?\n 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.\nIf 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 .","description_format":"text","description_chars":2888,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-29T13:10:44Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":20,"reasons":["conf:7","velocity","win:early","comp:attention"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/quantum-data-engineer","json_url":"https://alion.io/job/quantum-data-engineer.json","meta":{"generated_at":"2026-10-02T03:14:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4421,"day_limit":5000,"remaining_today":579,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}