Ruby Labs is a leading tech company that creates and operates innovative consumer products. We 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.
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, reusable data models
Monitor data pipelines and marts, resolve issues, and prevent inconsistencies in reporting
Contribute to continuous improvement of our data modeling frameworks, performance tuning, and technical decision-making




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
Experience collaborating with cross-functional teams and supporting analysts with reliable data
Knowledge of Python is a plus (but not required)
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
Ruby Labs operates within the CET (Central European Time) zone. Remote Work Environment: Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
Versátil Independent Contractor Agreement: Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here:
Life at Ruby Labs
At Ruby Labs, we move fast, aim high, and expect the same from our team. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
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📌 Data Engineer Consulting (España)
🏢 Ruby Labs
📍 España