Data Analytics Engineer

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About usRuby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/About the roleWe are looking for a Data Analytics Engineer to build, optimize, and maintain the analytical data layer that powers decision-making across the organization. You will transform business requirements into reliable, well-modeled datasets using dbt, SQL, and cloud data warehouses (BigQuery, ClickHouse). This role combines data modeling, documentation, data quality design, and close collaboration with analysts, engineers, and product teams to ensure consistent, trustworthy reporting.You will serve as the bridge between raw data ingestion and analytics — shaping how data is structured, validated, and delivered.ResponsibilitiesDesign, build, and maintain dbt models (staging, core, marts) based on business needsDevelop scalable SQL transformations and ensure efficient, cost-effective query performanceImplement data quality tests (dbt tests, custom checks, anomaly detection) and maintain high data reliability.Create and maintain documentation for datasets, data lineage, business logic, and transformation rulesCollaborate with Data Engineers on improving raw data structures, ingestion patterns, and source readinessPartner with Data Analysts, Product Managers, and Marketing teams to translate business requirements into clean, reusable data modelsMonitor data pipelines and marts, resolve issues, and prevent inconsistencies in reportingSupport governance initiatives: naming conventions, taxonomy, schemas, metric definitions, and standardizationContribute to continuous improvement of our data modeling frameworks, performance tuning, and technical decision-makingRequirementsStrong SQL experience with a deep understanding of analytical modeling conceptsHands-on experience with dbt (models, tests, docs, macros)Experience working with cloud data warehouses such as BigQuery or ClickHouseUnderstanding of data modeling patternsFamiliarity with data engineering concepts (ELT/ETL, orchestration, version control, CI/CD)Experience with data quality frameworks or implementing validation logicAbility to translate complex business processes into clean analytical datasets.Strong documentation skills and attention to detailExperience collaborating with cross-functional teams and supporting analysts with reliable dataKnowledge of Python is a plus (but not required)Nice To HavesExperience with orchestration tools (Airflow, Dagster)Experience working with marketing, product, or billing datasetsExposure to metric layers, semantic layer design, or BI governanceBasic understanding of observability tooling (Grafana, Prometheus, ... )Experience optimizing BigQuery costs or ClickHouse performanceLocationRuby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4…