Senior Analytics Engineer (DBT Core & Data Modeling)

We are considering candidates located only in Poland.ClientOur client is a U.S.-based healthcare marketplace focused on connecting providers with patients to improve access to medical services. The company fosters a strong engineering culture and values proactive individuals who are eager to explore new technologies and implement ready-made solutions.Position overviewThe Data Analytics Engineer will be responsible for understanding business objectives, assessing the current data landscape, and writing SQL queries to transform raw data managed in DBT into comprehensive Looker dashboards.Effective collaboration requires at least a 3-hour overlap with Eastern Standard Time (EST).ResponsibilitiesBuild and maintain reliable, scalable data models and pipelines using SQL, DBT, and DagsterSupport self-service analytics by managing tools like Looker and Amplitude, driving adoption and trainingPartner with analysts, product teams, and engineers to align data infrastructure with business needsImprove data ingestion and integration in collaboration with data engineeringDefine and promote best practices in data governance, quality, privacy, and securityRequirementsSolid experience with DBT Core to build models, run tests, and deploy changesSolid experience with data modeling - Kimball, SCDs, Event modelingExpert-level SQL skills for building performant, production-grade transformationsProficiency with data visualization tools; experience with Looker is a plus, and mandatory proficiency in any modern BI tool (e.g., Tableau, Power BI, Qlik)Looker (LookML) for semantic layer design, project architecture, and governancePython scripting for automation, testing, and developer productivityOrchestration and workflow management using Dagster (preferred) or AirflowExperience with Redshift or BigQueryAmplitude for event-based product analytics and user journey modelingImplementation of data governance frameworks and KPI management tools to maintain quality, lineage, and ownershipExcellent communication skills for collaborating with cross-functional stakeholders to gather requirements and clarify data context and meaningUse of AI-assisted development tools (e.g., GitHub Copilot, CodeWhisperer) to improve workflow efficiencyStrong understanding of data modeling and data warehousing principlesNice to haveExperience with Snowflake as the primary cloud data warehouseWhat We Offer:Vacation days: 26 business days per year for B2B contracts10 illness/special days off per year (fully paid, no medical papers needed) for all contract typesHealth and life insurance (Luxmed)MyBenefit platform with Multisport optionInternal psychological support serviceEnglish language classes from the first working dayAccess to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal trainingFlexible workplace: work from the office, from home, or choose a hybrid optionTech Skills Mentoring ProgramOpportunities to develop as a public speaker, mentor, or technical interviewerFully paid idle (bench) when not involved in a projectCertification reimbursement (AWS, GCP, Microsoft, etc.)Maternity leave: Special reimbursement for the first 6 months (B2B only)