GCP Data Engineer - BigQuery & dbt Core

Build reliable data pipelines. Make data quality measurable.

Work model:
Fully Remote

Seniority:
Senior

Reliable data starts with high-quality data processes.

We’re looking for a GCP Data Engineer to contribute to the migration and modernization of a Data Quality monitoring solution, moving from a legacy environment to Google Cloud Platform (GCP) and dbt Core.

You’ll develop data pipelines and ELT processes, implement data quality controls, and help ensure that data is accurate, consistent, and ready for business use. Working closely with data modelers, business analysts, and test engineers, you’ll contribute to a solution that combines cloud technologies with robust data validation practices.

If you enjoy transforming data, optimizing pipelines, and solving complex data quality challenges, this opportunity is for you.

• Build and maintain data pipelines and ELT processes.

• Implement Data Quality metrics and controls using dbt Core.

• Migrate existing Data Quality controls from legacy systems to a modern cloud environment.

• Prepare mappings between existing and target solutions.

• Develop data validation controls using Google Big Query.

• Build repositories for Data Quality monitoring results.

• Integrate data solutions with GCP platform services.

• Optimize the performance of Data Quality executions.

• Support technical and business testing activities.

• Prepare and maintain technical and operational documentation.

• Collaborate with Data Modelers, Business Analysts, and Test Engineers to deliver reliable data solutions.

• Experience as a Mid-level or Senior Data Engineer.

• Hands-on experience building and maintaining data pipelines.

• Practical knowledge of ETL/ELT processes and data transformation.

• Strong SQL skills.

• Experience working with modern data platforms.

• Experience with data migration and transformation activities.

• Understanding of Data Quality monitoring concepts and validation processes.

• Experience with system integrations and data processing workflows.

• Practical experience with Google Cloud Platform (GCP).

• Hands-on experience with Big Query.

• Experience working with dbt Core.

• Strong analytical and problem-solving skills.

• Ability to collaborate effectively with cross-functional teams.

• Experience migrating legacy data solutions to cloud environments.

• Background in banking or other regulated industries.

• Familiarity with data testing and validation practices.

• Experience preparing technical documentation.

• Cloud data engineering — work with GCP, Big Query, and dbt Core.

• Data quality at the core — help build reliable monitoring and validation processes.

• Modernization and migration — contribute to the transition from legacy solutions to a cloud-based environment.

• Cross-functional collaboration — work closely with specialists across data modeling, business analysis, and testing.

• Remote flexibility — collaborate with the team remotely.