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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
GCP Analytics Engineer (dbt/BigQuery): Designing and maintaining dbt-based transformation frameworks and analytical data models for Silver and Gold data layers with an accent on execution performance, lifecycle management, and operational efficiency. Focus on separating dbt models from Docker runtime images, evaluating native BigQuery execution approaches, and supporting data quality and transformation governance.
Location: Poland
Company
hirify.global is a global AI-first digital transformation and engineering partner delivering scalable products, platforms, data-driven solutions, modern applications, data platforms, and AI solutions across 16 countries.
What you will do
Design, develop, and maintain dbt-based transformation frameworks.
Build and optimize data models supporting Silver and Gold data layers.
Optimize dbt execution performance and the operational efficiency of data transformations.
Support versioning and lifecycle management of dbt artifacts, including separating dbt models from runtime Docker images and implementing controlled distribution mechanisms.
Evaluate native BigQuery execution approaches, consolidate transformation workflows, and collaborate with Data Engineering, DevOps, and Platform teams.
Support data quality and transformation governance initiatives and maintain technical documentation.
Requirements
Strong commercial experience with dbt and strong SQL skills.
Hands-on experience with BigQuery and experience designing 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 and 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 and optimizing cloud processing costs.
Experience in regulated industries, including banking or financial services.
Experience supporting data quality and governance initiatives.
Culture & Benefits
People-first culture with a focus on engineering excellence.
Continuous growth and knowledge sharing.
Consulting environment serving clients across multiple industries and countries.
Hiring process
CV review.
HR call, interview, and client interview.
Final decision.
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