GCP Analytics Engineer - dbt & BigQuery Expert

Xebia Group; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Xebia Group is seeking a data engineering professional to design and maintain dbt-based transformations on BigQuery, building robust data models for enterprise analytics. You will optimize execution, manage artifact lifecycles, and collaborate with Data Engineering, DevOps, and Platform teams to ensure data quality and governance.

Strong Python, Docker, and cloud familiarity are essential. Join a global AI-first and engineering-focused partner helping clients scale data platforms and modernize

Qualifications

• Experience with dbt and analytical data transformations.
• Ability to design and maintain data models for enterprise analytics.
• Strong communication and documentation skills.
• Experience collaborating with Data Engineering, DevOps and Platform teams.
• Familiarity with versioning and lifecycle management of data artifacts.

Responsibilities

• 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
• 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

Skills

dbt experience

Data modeling

Analytical thinking

Communication

Documentation

Cross-functional collaboration

Tools

dbt

BigQuery

Docker

Python

Airflow

Google Cloud Storage

Kubernetes

Job description

Xebia Group is seeking a data engineering professional to design and maintain dbt-based transformations on BigQuery, building robust data models for enterprise analytics. You will optimize execution, manage artifact lifecycles, and collaborate with Data Engineering, DevOps, and Platform teams to ensure data quality and governance.

Strong Python, Docker, and cloud familiarity are essential. Join a global AI-first and engineering-focused partner helping clients scale data platforms and modernize