{"id":3653712,"url":"https://alion.io/job/deus-data-analytics-engineer-mediorsenior","title":"Data Analytics Engineer [Medior/Senior]","company":{"id":4374792,"name":"DEUS","domain":"deus.ai","url":"https://alion.io/company/deus-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Porto, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-02T00:00:00Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Sobre a vaga\nBuilding dimensional models in dbt on Snowflake, from staging to the serving layer. You will develop core sales pipeline domains and extend models into the semantic layer in Power BI. The role involves collaborating in a distributed team to deliver models that are easy to understand and maintain.\n\nO que vais fazer\n\nBuilding dimensional models (Kimball) in dbt on Snowflake, from staging to the serving layer\nDeveloping core sales pipeline domains: opportunity funnel, sales actuals, delivery and margin reporting, and later group management reporting\nExtending your dbt models into the semantic layer in Power BI\nImplementing historical logic (dbt snapshots, SCD2), data quality tests, and contributing to the CI/CD pipeline\nWorking closely with business analysts and controllers to sharpen definitions and ensure alignment across countries\nReviewing colleagues’ work and contributing to a high‑quality modelling standard\nCollaborating in a distributed team across NL, DE, CH, PT, and MY, using English daily\n\nO que é pedido\n\n5+ years of experience working in data modelling and analytics, with proven production experience in dbt — not pilots or courses, but real models running and maintained in a live environment\nStrong SQL skills on a cloud data warehouse, ideally Snowflake\nSolid experience with dimensional modelling (Kimball), especially designing and accelerating fact tables\nComfort working with Git‑based workflows, including peer review as a natural part of your process\nExperience building semantic models in Power BI, including DAX measures and row‑level security (RLS)\nFluent English for daily collaboration\nYou enjoy refining definitions with business analysts and controllers\nYou’re comfortable reviewing the work of colleagues and contributing to shared standards\nYou value clarity, ownership, and delivering models that are easy to understand and maintain\n\nValorizado\n\nExperience with finance or sales data (ERP, CRM) and an eye for definition differences across an organisation\nExposure to NetSuite, Dynamics 365, Tagetik, or Pigment as data sources\nExperience with CI/CD for Power BI and the PBIP format\nInterest in AI‑assisted development within this stack\n\nO que é oferecido\n\nCommunity: Join a friendly multicultural team that loves to connect, through regular social events, activities, and our yearly company retreat, Pantheon\nFlexibility: We encourage a hybrid setup, but there are no mandatory office days. You decide when to come in and how to manage your time\nGrowth: We support your development with a €1000 annual learning budget, dedicated mentorship, and a clear growth framework\nAnnual reviews to recognize your growth and make sure your salary reflects it\nWell-being: Benefit from health insurance, flexible benefits, extra vacation days with tenure, and regular check-ins to support your well-being\n\nResumo organizado por IA a partir do anúncio original. 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