Remote Data Analytics Engineer — Build Trusted Data Models

Ruby Labs Ltd; España; Remote; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Remote Work Environment

Unlimited PTO

Paid National Holidays

Company-provided MacBook

Flexible Independent Contractor

Job summary

Ruby Labs Ltd is seeking a Data Analytics Engineer to build and maintain the analytical data layer using dbt, SQL, and cloud data warehouses such as BigQuery and ClickHouse. You will transform business requirements into reliable, well-modeled datasets, documenting lineage and ensuring high-quality reporting in collaboration with analysts, engineers, and product teams.

You will bridge raw data ingestion and analytics, shaping data structures, validation, and delivery.

Qualifications

• Strong SQL experience and analytical modeling concepts.
• Hands-on dbt experience (models, tests, docs, macros).
• Experience with cloud data warehouses like BigQuery or ClickHouse.
• Understanding of data modeling patterns.
• Familiarity with 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.

Responsibilities

• Design, build, and maintain dbt models (staging, core, marts).
• Develop scalable SQL transformations and optimize query performance.
• Implement data quality tests and maintain data reliability.
• Create and maintain dataset documentation and data lineage.
• Collaborate with Data Engineers on data structures and ingestion patterns.
• Partner with Analysts and Product/Marketing teams to translate requirements into data models.
• Monitor pipelines and reports to prevent inconsistencies.

Skills

SQL proficiency

Data modeling

dbt experience

Cloud data warehouses

Data quality

Documentation

Cross-functional collaboration

Python knowledge

Tools

dbt

BigQuery

ClickHouse

Job description

Ruby Labs Ltd is seeking a Data Analytics Engineer to build and maintain the analytical data layer using dbt, SQL, and cloud data warehouses such as BigQuery and ClickHouse. You will transform business requirements into reliable, well-modeled datasets, documenting lineage and ensuring high-quality reporting in collaboration with analysts, engineers, and product teams.

You will bridge raw data ingestion and analytics, shaping data structures, validation, and delivery.