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    Data Analytics Engineer

    Ruby Labs
    European Union•Ukraine
    Remote
    Mid Level
    Full Time
    remotedata analyticsdbtSQLcloud data warehouseBigQueryClickHouse

    Requirements

    • •Strong SQL experience with a deep understanding of analytical modeling concepts
    • •Hands-on experience with dbt (models, tests, docs, macros)
    • •Experience working with cloud data warehouses such as BigQuery or ClickHouse
    • •Understanding of data modeling patterns
    • •Familiarity with data engineering concepts (ELT/ETL, orchestration, version control, CI/CD)
    • •Experience with data quality frameworks or implementing validation logic
    • •Ability to translate complex business processes into clean analytical datasets
    • •Strong documentation skills and attention to detail
    • •Experience collaborating with cross-functional teams and supporting analysts with reliable data

    What You'll Do

    • •Design, build, and maintain dbt models based on business needs
    • •Develop scalable SQL transformations and ensure efficient, cost-effective query performance
    • •Implement data quality tests and maintain high data reliability
    • •Create and maintain documentation for datasets, data lineage, business logic, and transformation rules
    • •Collaborate with Data Engineers on improving raw data structures, ingestion patterns, and source readiness
    • •Partner with Data Analysts, Product Managers, and Marketing teams to translate business requirements into clean, reusable data models
    • •Monitor data pipelines and marts, resolve issues, and prevent inconsistencies in reporting
    • •Support governance initiatives including naming conventions, taxonomy, schemas, metric definitions, and standardization
    • •Contribute to continuous improvement of data modeling frameworks, performance tuning, and technical decision-making

    Nice to Have

    • •Knowledge of Python
    • •Experience with orchestration tools (Airflow, Dagster)
    • •Experience working with marketing, product, or billing datasets
    • •Exposure to metric layers, semantic layer design, or BI governance
    • •Basic understanding of observability tooling (Grafana, Prometheus)
    • •Experience optimizing BigQuery costs or ClickHouse performance

    Benefits

    • •Remote Work Environment
    • •Unlimited PTO
    • •Paid National Holidays
    • •Company-provided MacBook
    • •Flexible Independent Contractor Agreement

    About Ruby Labs

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