Data Analytics Engineer
Ruby Labs · Remote · European Union · Ukraine ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (±4h CET)
- dbt + SQL focus
- BigQuery / ClickHouse
- Unlimited PTO
- Contractor agreement
You will design, build, and optimize dbt models to power decision-making across health, education, and entertainment products. Serving as the bridge between raw data ingestion and analytics, you ensure data is structured, validated, and delivered reliably.
The role requires close collaboration with data engineers, analysts, and product teams to translate complex business processes into clean, reusable data models while maintaining high data quality and documentation standards.
What you'll do
- Design and maintain dbt models including staging, core, and marts
- Develop scalable SQL transformations for efficient query performance
- Implement data quality tests and anomaly detection checks
- Document datasets, lineage, business logic, and transformation rules
- Collaborate with engineers to improve raw data structures and ingestion
- Partner with analysts and PMs to translate needs into data models
- Monitor pipelines to resolve issues and prevent reporting inconsistencies
- Support governance initiatives like naming conventions and metric definitions
What you'll need
- Strong SQL skills and deep understanding of analytical modeling
- Hands-on experience with dbt models, tests, docs, and macros
- Experience with cloud warehouses like BigQuery or ClickHouse
- Solid grasp of data modeling patterns and engineering concepts
- Familiarity with ELT/ETL, orchestration, version control, and CI/CD
- Experience implementing data quality frameworks or validation logic
- Ability to translate complex business processes into analytical datasets
- Strong documentation skills and attention to detail
Nice to have
- Knowledge of Python
- Experience with Airflow or Dagster orchestration tools
- Work with marketing, product, or billing datasets
- Exposure to semantic layer design or BI governance
- Understanding of observability tooling like Grafana
- Experience optimizing BigQuery costs or ClickHouse performance
Stack
- dbt
- SQL
- BigQuery
- ClickHouse
- Python
- Airflow
- Dagster
- Grafana
How you'll work
- Fully remote work environment
- Must be located within ±4 hours of CET
- Flexible independent contractor agreement
- Company-provided MacBook if needed
What you get
- Unlimited paid time off
- Paid national holidays
- Top-notch Apple MacBook provided
- Tax advantages via contractor status
- Autonomy and entrepreneurial opportunities
Hiring process
- Application review takes 3 to 5 days
- Recruiter screening call (40 minutes)
- Technical interview (90 minutes)
- Final interview (60 minutes)