GCP Analytics Engineer

Xebia

Wrocław, DS, Poland • 43m ago • Remote

Mid

Remote

120 - 180 PLN/yr

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Quick Facts

  • Role: GCP Analytics Engineer

Description

Design, develop, and maintain dbt-based data transformation frameworks on Google Cloud, including building optimized models for Silver/Gold layers in BigQuery. Improve dbt execution performance and operational efficiency, manage dbt artifact lifecycle and versioning, and support data quality and transformation governance while preparing technical documentation.

Responsibilities

  • Design, develop, and maintain dbt 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

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

Benefits

  • Work on modern GCP data platforms and analytical transformation layers

  • Cross-functional collaboration with Data Engineering, DevOps, and Platform teams

  • Focus on engineering excellence, knowledge sharing, and continuous growth

  • Contribute to data quality and governance initiatives

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