GCP Analytics Engineer

• Design, develop, and maintain dbt-based transformation frameworks
• Build and optimize data models supporting Silver and Gold data layers
• Optimize dbt execution performance and operational efficiency
• Support versioning and lifecycle management of dbt artifacts
• Separate dbt models from runtime Docker images and implement controlled distribution mechanisms
• Evaluate and implement alternative execution approaches using native BigQuery capabilities where appropriate
• Consolidate and simplify data transformation workflows
• Collaborate with Data Engineering, DevOps, and Platform teams
• Support data quality and transformation governance initiatives
• Prepare and maintain technical documentation

Key requirements:

• Strong commercial experience with dbt
• Strong SQL skills
• Hands-on experience with BigQuery
• Experience designing and building analytical or transformation layers on modern data platforms
• Experience developing and maintaining data models for enterprise analytics environments
• Understanding of data model lifecycle management and versioning
• Experience with Docker-based deployment approaches
• Familiarity with Python
• Experience optimizing the performance and operational efficiency of data transformations
• Strong communication and documentation skills

Nice to have:

• Experience with Apache Airflow and BigQueryInsertJobOperator or similar orchestration approaches
• Familiarity with Google Cloud Storage and Kubernetes
• Experience building reusable transformation frameworks
• Experience optimizing cloud processing costs
• Experience in regulated industries, including banking or financial services
• Experience supporting data quality and governance initiatives

Tech stack

DBT, SQL, BigQuery, Data modeling, Data warehouse, Docker, Python, Dokumentacja projektowa