{"id":1377962,"url":"https://alion.io/job/swap-commerce-ltd-analytics-engineer","title":"Analytics Engineer","company":{"id":1807561,"name":"Swap Commerce Ltd.","domain":"swap-commerce.com","url":"https://alion.io/company/swap-commerce","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"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":53000,"max_usd":141000,"period":"year","method":"role_country_seniority_unknown","sample_n":104},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-24T08:20:53Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-09-30T16:22:32Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"About Swap\nSwap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience.\nBuilt for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence.\nAt Swap, we’re building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works.\nAbout the Role\nWe're looking for a passionate and pragmatic Analytics Engineer to join our Analytics Engineering team, helping to scale our stack for a new data-driven era at Swap.\nThis is an important contributor role within the team, offering a good degree of ownership and the chance to help build a scalable, modern data architecture. You’ll build and maintain the data models that power our entire business-from internal commercial insights for Sales and Finance to the trusted data sets enabling customer-facing agentic systems.\nWe need a hands-on builder excited to contribute to our high-quality dbt project, help shape our analytics vision, and support the scaling of our models as we grow. If you thrive in a fast-paced, collaborative team with high ownership and impact, we'd love to hear from you!\nKey responsibilities\ndbt Development: Scale our dbt project, shaping its architecture and CI/CD processes to support company-wide initiatives.\n\nData Modelling & Architecture: Contribute to our data modelling strategy, helping to build and maintain the core set of performant, scalable, and trusted data models that power all downstream consumers-from our internal BI tool to our customer-facing agentic systems and analytics APIs.\n\nData Quality & Governance: Champion and implement robust data quality standards, PII governance, testing, and documentation to ensure our data is trustworthy and reliable as we scale.\n\nStakeholder Partnership: Partner with commercial (Sales, Finance) and product teams on data needs, assisting in translating business questions into data requirements and helping to manage delivery expectations.\n\nBI & Self-Service Enablement: Contribute to the development and refinement of foundational data assets in our BI tool (Lightdash), helping stakeholders and analysts access insights effectively.\n\nWhat we would like to see\nSolid experience in a data-focused role such as Analytics Engineering, Data Engineering, or BI Development, or equivalent academic experience.\n\nHands-on experience with dbt (dbt Core/Cloud).\n\nStrong proficiency in SQL and good understanding of data modelling patterns.\n\nExperience with a modern cloud data warehouse (Snowflake, BigQuery etc).\n\nExperience with version control using Git.\n\nGood communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.\n\nA detail-oriented mindset with a willingness to learn and contribute to building trustworthy data products.\n\nDiversity & Equal Opportunities:\nWe embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.","description_format":"text","description_chars":3483,"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":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-09-28T07:19:29Z"}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.361,"p_room":0.28,"age_days":67,"expected_fill_days":30,"reasons":["conf:4","win:tail","crowd:"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/swap-commerce-ltd-analytics-engineer","json_url":"https://alion.io/job/swap-commerce-ltd-analytics-engineer.json","meta":{"generated_at":"2026-10-01T01:00:44Z","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":760,"day_limit":5000,"remaining_today":4240,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}