Analytics Engineer

We run a creator platform, we are based in Rotterdam. The product is new, the data foundation is in place, and we are taking it further now.The roleThe data warehouse already exists: BigQuery with dbt transformations, Looker on top. What we need now is someone to own the layer between raw data and the business: finished mart models, metric definitions people can trust, and a Looker project that stays maintainable as the transformations underneath it keep moving.The ideal candidate is as interested in the definitions as in the code: curious about how the business actually works, comfortable sitting with finance, marketing or product to get to the real rule behind a question, and committed to writing it down so the answer holds up the next time it comes up.What you will doOwn the LookML project end to end: models, views, explores, derived tables, persistenceBuild and maintain the dbt mart layer underneath itDefine metrics together with finance, marketing and product, then document and materialise themBuild data models that other systems consume, not only dashboardsKeep query cost and performance under control as usage growsWhat we're looking forHands-on Looker experience (LookML, not Looker Studio). You have worked inside a LookML project, not only viewed dashboards. We care more about what you have built than how long it tookdbt in production: layered architecture, incremental models, testing, documentation, and the discipline to keep a project maintainable as it growsAdvanced SQL on a cloud data warehouse, with real awareness of cost and performanceAn eye for what makes a dashboard good. Not a wall of charts, but a clear answer to a question, laid out so a non-technical colleague understands it without a walkthrough and keeps using it dailyExperience building data models other systems depend onWorking knowledge of Python for automation and pipeline workProactive and structured. In an early setup, nobody hands you a backlogFluent EnglishThe right to work in the Netherlands. We are not able to sponsor work visas or relocation for this roleNice to haveData quality and observability: testing at scale, freshness and anomaly monitoring, alertingHandling data arriving via Pub/SubLooker API or SDK, Looker Actions, scheduled delivery automationGDPR and PII handling in a warehouse contextMachine learning experienceTech stackGoogle Cloud PlatformGoogle BigQueryLooker / LookMLdbt & SQLPythonGitPracticalFull-timeOn-site in Rotterdam. We work from the office most of the week, so we are looking for people in or around the regionCompetitive salaryApplicant dataWe process applicant data in line with the GDPR. Your details are used only to assess your application, are visible to the people involved in this hiring process, and are deleted within four weeks after the process closes unless you give us permission to keep them longer.AgenciesAcquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld. We do not accept unsolicited CVs from agencies. Candidates introduced without a signed agreement in place create no obligation or fee, and their details will be deleted.