Data Platform Engineer: Build Trusted BigQuery Data Models

G-STAR; Amsterdam; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

G-STAR is seeking a Data Platform Engineer to build and maintain data models across Finance, Retail, Ecommerce and Wholesale. You will own models, data quality, and cost, while documenting work and collaborating with stakeholders to translate reporting needs into reliable data products.

You’ll work with Dataform and BigQuery, write tests, automate with Python, and manage ingestion via Airbyte and infrastructure with Terraform and Kubernetes.

Formación

• Three or more years building data pipelines in production.
• Strong SQL and cost-aware query optimization.
• Experience with cloud data warehouses (BigQuery preferred).
• Familiarity with Dataform or dbt and Git workflows.
• Some Python for automation and scripting.

Responsabilidades

• Build and maintain data models in Dataform on BigQuery from a business question to a table used for reporting.
• Own the models in your area: documentation, data quality, and running costs.
• Write tests and assertions to catch problems before they affect business users.
• Keep platform costs under control by measuring impact of changes.
• Collaborate with Finance, Retail, Ecommerce and Wholesale to translate reporting needs into specifications.
• Support the platform with ingestion via Airbyte, Terraform infrastructure, and Kubernetes orchestration.

Conocimientos

Strong SQL

Data modeling

Documentation

Herramientas

BigQuery

Dataform

dbt

Git

Airbyte

Terraform

Kubernetes

Descripción del empleo

G-STAR is seeking a Data Platform Engineer to build and maintain data models across Finance, Retail, Ecommerce and Wholesale. You will own models, data quality, and cost, while documenting work and collaborating with stakeholders to translate reporting needs into reliable data products.

You’ll work with Dataform and BigQuery, write tests, automate with Python, and manage ingestion via Airbyte and infrastructure with Terraform and Kubernetes.