{"id":1520118,"url":"https://alion.io/job/multiverse-analytics-engineer","title":"Analytics Engineer","company":{"id":5192,"name":"Multiverse","domain":"multiverse.io","url":"https://alion.io/company/multiverse","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":6,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Analytics","role_family":"Analytics","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":54000,"max_usd":125000,"period":"year","method":"role_country_seniority_unknown","sample_n":132},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"GitHub","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Metabase","optional":true},{"name":"Python","optional":true},{"name":"Tableau","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-30T09:49:44Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-06T20:56:31Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Multiverse is the upskilling platform for AI and Tech adoption.\nWe have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.\nOur upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.\nIn April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn.\nBut we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output.\nJoin Multiverse and power our mission to equip the workforce to win in the AI era.\nWhat we need\nWe're looking for an Analytics Engineer to help build and maintain the data models that power analytics and data science across the business. You'll develop robust, scalable dbt pipelines and help evolve our data platform - ensuring data is accessible, trusted, and well-structured.\nOur core platform (Snowflake, dbt, Airflow) is established and isn't changing. What is changing is the layer on top: we're rethinking our semantic and BI layer for AI/MCP-driven self-service, so analysts, stakeholders, and AI agents can query trusted metrics directly. You'll help design the models and metric definitions that make that possible.\nThis is also a role built around AI-assisted development. We expect you to use AI tools (e.g. Claude Code, Cursor, Copilot) as a normal part of writing dbt models, tests, and docs - while still understanding what's happening underneath, so you can catch when the tooling gets it wrong and work effectively without it.\nYou'll report to the Director of Data Engineering within the Data & Insight team. We're looking for someone detail-oriented, pragmatic, and hands-on - who takes ownership, moves quickly without cutting corners, and is responsive to user needs.\nWhat you'll work on\nData Modelling & Transformation\nBuild and maintain dbt models, using AI coding assistants to accelerate development while retaining full understanding of the resulting logic\n\nTranslate business requirements into scalable data models\n\nDesign warehouse schemas using dimensional modelling (facts, dimensions, SCDs, etc.)\n\nParticipate in design and code reviews - including reviewing AI-generated code with the same rigour as hand-written code\n\nDefine and expose models and metrics through our semantic layer, with an eye to how AI agents will consume them via MCP\n\nTesting, Documentation, and CI/CD\nImplement dbt tests for data quality and accuracy\n\nDocument models and metric definitions clearly, for both human and AI consumption\n\nUse GitHub and CI/CD pipelines, incorporating AI-assisted workflows where they add value\n\nPerformance & Architecture\nOptimise dbt models and SQL queries for performance and maintainability\n\nWork with Snowflake on top of a data lake architecture\n\nContribute to evolving our semantic/BI layer toward AI/MCP-driven self-service\n\nWhat we're looking for\nRequired Skills & Experience\nStrong experience building and optimising complex SQL (joins, window functions, optimisation)\n\nStrong grasp of data modelling and warehouse design (Kimball-style)\n\nProduction dbt experience, including testing and documentation\n\nHands-on experience using AI coding tools (e.g. Copilot, Cursor, Claude Code) as a real part of your workflow, not occasional use\n\nStrong-enough fundamentals to work confidently without AI assistance and to critically assess AI-generated output\n\nFamiliarity with version control (GitHub)\n\nAble to independently translate business logic into technical implementation\n\nComfortable giving and receiving code review\n\nDesirable - but not required\nSnowflake experience\n\nSemantic layer experience (e.g. Omni, Cube, dbt Semantic Layer)\n\nBI tools (e.g. Omni, Tableau, Metabase)\n\nExposure to AI agent tooling / MCP\n\nCI/CD for data workflows\n\nPython/Airflow familiarity\n\nTerraform / IaC\n\nBenefits\nTime off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year\n\nHealth & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support\n\nHybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month\n\nWork-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year\n\nSpace to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!\n\nOur Commitment to Diversity, Equity and Inclusion\nWe’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.\nOur Commitment to Safeguarding\nMultiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).\nFor roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.\nProviding false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.","description_format":"text","description_chars":6503,"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":[]},"benefits":["Equity","Gym membership","Health insurance","Hybrid work","Life insurance"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Vocational Education","Corporate Training"],"lifecycle":[{"event":"open","at":"2026-09-30T11:20:40Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":61,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/multiverse-analytics-engineer","json_url":"https://alion.io/job/multiverse-analytics-engineer.json","meta":{"generated_at":"2026-10-06T22:06:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2224,"day_limit":5000,"remaining_today":2776,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5192},"rest":"https://alion.io/mcp/rest/get_company?id=5192"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmultiverse-analytics-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmultiverse-analytics-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmultiverse-analytics-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/multiverse-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmultiverse-analytics-engineer"}]}