{"id":2629521,"url":"https://alion.io/job/vinted-analytics-engineer-revenue-purchase-order","title":"Analytics Engineer, Revenue, Purchase & Order","company":{"id":56356,"name":"Vinted","domain":"vinted.com","url":"https://alion.io/company/vinted-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":34,"ghost_share":0,"stale_share":0.912,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":110000,"period":"year","method":"role_country_seniority_unknown","sample_n":53},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Go","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T15:24:03Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-20T09:33:24Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Brief info about Vinted \nOur mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life - or even a third.\nThe Vinted Group is made up of three business units that support this mission:\nVinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.\nVinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.\nVinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.\nFounded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people. \nInformation about the position \nWe are looking for an Analytics Engineer to join our Revenue, Purchase & Order Analytics Engineering team.\nThe area sits at the heart of some of the most critical customer journeys and commercial systems across Vinted’s Marketplace Business Unit, spanning Revenue (pricing and advertising), Purchase (inquiries and checkout), and Orders (transactions and fulfilment). Together, these domains create a rich, high-volume, and deeply interconnected data ecosystem.\nAs an Analytics Engineer, you’ll work at the intersection of data, engineering, and product, building trusted data products that power business and product decision-making across these domains.\nIn this position, you’ll \nBuild scalable data products: Design, develop, and evolve reliable, cost-efficient data products and pipelines that power analytics and machine learning use cases across the domains.\nBuild quality in by design: Embed automated testing, validation, and quality controls throughout the data lifecycle to ensure data remains accurate, consistent, and complete.\nStrengthen observability: Improve monitoring and alerting to detect and address issues before they impact downstream consumers.\nOwn production reliability: Take end-to-end ownership of production data systems, from investigating incidents and diagnosing root causes to implementing durable fixes that prevent recurrence and improve long-term resilience.\nWho you’ll work with:\nRevenue, Purchase & Order Analytics Engineering: Join a talented and driven team of 7+ Analytics Engineers, working across interconnected domains and tackling complex, high-impact data challenges.\nData & Decision Scientists: Work closely with Data Scientists and Decision Scientists to build trusted data foundations that enable better business and product decisions.\nEngineering, Product & Business: Partner with Backend Engineering, Product, and Business teams to understand their needs, shape technical requirements, and translate them into well-designed, trusted data solutions.\nThe Analytics Engineering Guild: Be an active member of Vinted’s 40+ member AE Guild, benefiting from shared tooling, engineering standards, and knowledge across domains. You’ll also have opportunities to contribute to “side quests” that improve engineering practices, tooling, and reusable capabilities.\nAbout you \nExperience working as an Analytics Engineer, Data Engineer, or in a closely related data role.\nStrong SQL and data warehousing fundamentals, with the ability to build clean, performant, and maintainable data solutions.\nHands-on experience with dbt or a similar data transformation framework, building well-structured and tested data models.\nExperience working with a cloud data warehouse such as BigQuery, Snowflake, Redshift, or similar.\nA solid understanding of data modelling principles and their application to real-world analytical problems.\nFamiliarity with workflow orchestration tools such as Airflow, Dagster, or similar.\nComfortable working with high-volume, business-critical data, balancing a high bar for quality and reliability with a pragmatic bias for action.\nStrong written and verbal communication skills in English, with the ability to clearly explain technical concepts and trade-offs to both technical and non-technical audiences.\nWork perks \nThe opportunity to benefit from our share options programme\n25 days of paid annual leave\nNewest MacBook models\nConfidential Employee Assistance Program (EAP) for you and your family\nFrequent team-building events\nHome office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture\nLunch benefit per working day\nA personal monthly budget for shopping on Vinted\nCollective Defined Contribution Pension plan\nNS Business Card for your commute to the office by public transport\nCompany bike leasing scheme\nMonthly budget for a flexible benefits platform\nWork from Home allowance [[DELETE FOR Breda, Utrecht, Amsterdam Store]]\nA dog-friendly office\nWorking at Vinted \nWorkation policy\nBetter balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time.\nIndividual learning budget\nEach year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development.\nHybrid work \nOur hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person.\nEqual opportunity\nWe welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway - you might still be the perfect match!\nThe annual gross salary range for this position excluding 8% holiday pay is:\n€53.900—€72.900 EUR","description_format":"text","description_chars":6524,"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":["Annual leave","Apple Macbook","Home office","Hybrid work","Professional development","Stock options"],"hiring_locations":[{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces","Apparel & Fashion Brands"],"lifecycle":[{"event":"open","at":"2026-10-15T15:43:36Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.624,"p_room":1,"age_days":4,"expected_fill_days":18,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vinted-analytics-engineer-revenue-purchase-order","json_url":"https://alion.io/job/vinted-analytics-engineer-revenue-purchase-order.json","meta":{"generated_at":"2026-10-20T13:54:49Z","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_verified","counted_by":"address","units_charged":1,"used_today":15508,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":56356},"rest":"https://alion.io/mcp/rest/get_company?id=56356"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvinted-analytics-engineer-revenue-purchase-order"},{"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%2Fvinted-analytics-engineer-revenue-purchase-order"},{"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%2Fvinted-analytics-engineer-revenue-purchase-order"},{"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/vinted-analytics-engineer-revenue-purchase-order\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvinted-analytics-engineer-revenue-purchase-order"}]}