Data Analytics Engineer

Stack

Responsibilities

• ▹Design, build, and maintain dbt models (staging, core, marts) based on business needs
• ▹Develop scalable SQL transformations and ensure efficient, cost-effective query performance
• ▹Implement 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 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 data models
• ▹Monitor data pipelines and marts, resolve issues, and prevent reporting inconsistencies
• ▹Support governance initiatives: naming conventions, taxonomy, schemas, metric definitions, standardization

Requirements

• ▹Strong SQL experience with deep understanding of analytical modeling concepts
• ▹Hands-on experience with dbt (models, tests, docs, macros)
• ▹Experience 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

Nice to have

• ▹Knowledge of Python is a plus (not required)
• ▹Experience with orchestration tools (Airflow, Dagster)
• ▹Experience 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

Soft skills

What we offer

• ▹Remote work environment

About the company

Ruby Labs is a leading tech company that creates and operates innovative consumer products across health, education, and entertainment. The role can be based anywhere within approximately ±4 hours of CET.