{"id":2579891,"url":"https://alion.io/job/six-cmc-analytics-engineer","title":"CMC Analytics Engineer","company":{"id":47665,"name":"SIX","domain":"six-group.com","url":"https://alion.io/company/six","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":80000,"period":"year","method":"role_country_seniority_unknown","sample_n":196},"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":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-15T01:31:56Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-16T00:37:46Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"SIX drives the transformation of financial markets.\nWhat sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.\n CMC Analytics Engineer\nWarsaw|Up to 40% working from home possible| Reference8340\nSIX is building a dedicated Tech & Data capability within the Marketing & Communications (CMC) department. Its foundation is a marketing data spine on the enterprise Databricks Data Lakehouse: a traceable chain from campaign activity and spend through engagement, leads and opportunities to revenue.\nReporting to the Head Tech & Data Marketing & Communications, the CMC Analytics Engineer owns the transformation layer: the data marts, the identity stitching, the feature pipelines feeding the measurement models, and the semantic layer behind the ROMI and CMC KPIs cockpit.\nThis is an opportunity for an analytics engineer who wants to shape a domain data product from first principles - with a clean split of responsibilities (ingestion provided as a service), a modern platform, and models and executives as direct customers.\nWhat You Will Do\nDesign and build the marketing transformation layer on Databricks: campaign, spend, engagement, opportunity and revenue data marts on the ingested raw data\nBuild identity and account stitching: persistent identifiers linking campaigns, contacts, accounts, opportunities and revenue into one measurable spine\nBuild and maintain feature pipelines for marketing mix modelling, attribution and personalization models\nOwn the semantic layer and certified datasets serving the CMC reporting suite and self-service reporting\nDefine data contracts with the IT ingestion service and upstream enterprise data models; implement data-quality monitors against the team's governance standards\nApply solid engineering practice: Unity Catalog, CI/CD, testing, cost and performance optimisation, documentation\nSupport activation use cases - audiences and segments delivered back to the MarTech stack adhering to regulations.\nWhat You Bring\nStrong analytics-engineering craft: advanced SQL and PySpark, dimensional and medallion modelling, dbt-style transformation discipline\nProduction experience on Databricks (Unity Catalog, workflows) or a comparable lakehouse platform\nExperience building semantic models and certified datasets\nA data-contract and data-quality mindset: schemas, tests, monitors and clear interfaces to upstream providers\nIdeally, familiarity with marketing and CRM domain data - campaigns, funnels, opportunity data\nThe ability to work as an embedded counterpart to external build partners and internal platform teams\nExperience embedding AI agents into business processes and data workflows - agentic pipelines, Genie-style assistants and AI endpoints on the lakehouse\nIf you have any questions, check out our FAQ page or call Agnieszka Leputaat +48 538 562 645\nFor this vacancy we only accept direct applications.\nDiversity is important to us. 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