Data engineer

G-Star Management; Amsterdam; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

G-STAR is seeking a Data Platform Engineer in Amsterdam to build and maintain data models used by Finance, Retail, Ecommerce and Wholesale. You will develop models on Google Cloud, document them, and manage data quality and costs.

In this small team you own your work, translate business questions into reliable data products, and collaborate with stakeholders. You’ll work with Dataform on BigQuery, handle ingestion with Airbyte, and support Terraform and Kubernetes infrastructure.

Formación

• Three or more years building data pipelines in production.
• Strong SQL - you should be able to look at a query and explain why it's expensive
• A cloud data warehouse in production: BigQuery preferred, Snowflake or Databricks fine
• A transformation framework such as Dataform or dbt, and Git as a daily habit
• Enough Python to automate the things that shouldn't need a person
• You document as you go, and you're comfortable owning something outright in a small team

Responsabilidades

• Build and maintain data models in Dataform on BigQuery, from a business question through to a table someone reports on
• Own the models in your area: their documentation, their data quality and their running cost
• Write the tests and assertions that catch problems before the business notices them
• Keep the platform's cost under control - we measure before and after every change
• Work with colleagues in Finance, Retail, Ecommerce and Wholesale to turn reporting needs into clear specifications, and build so they can serve themselves next time
• Support the platform around the models: ingestion via Airbyte, infrastructure in Terraform, orchestration on Kubernetes

Conocimientos

SQL

Data pipelines

Python

Data quality

Documentation

Herramientas

BigQuery

Airbyte

Terraform

Kubernetes

Dataform

dbt

Descripción del empleo

Omschrijving functie

Working at G-STAR - F.A.Q.'s Back to top Data Platform Engineer Amsterdam, Netherlands Netherlands October 8, 2026 Data Platform Engineer As Data Platform Engineer you are responsible for building and maintaining the data models that G-Star's Finance, Retail, Ecommerce and Wholesale teams rely on. This includes developing and documenting models on our Google Cloud platform, implementing data quality tests, and managing the performance and running cost of what you build. You work closely with stakeholders across the business to translate their reporting needs into reliable, well-documented data products, within a small team where you take direct ownership of your work.

What you'll do

• Build and maintain data models in Dataform on BigQuery, from a business question through to a table someone reports on


• Own the models in your area: their documentation, their data quality and their running cost


• Write the tests and assertions that catch problems before the business notices them


• Keep the platform's cost under control - we measure before and after every change


• Work with colleagues in Finance, Retail, Ecommerce and Wholesale to turn reporting needs into clear specifications, and build so they can serve themselves next time


• Support the platform around the models: ingestion via Airbyte, infrastructure in Terraform, orchestration on Kubernetes

What we're looking for

• Three or more years building data pipelines in production


• Strong SQL - you should be able to look at a query and explain why it's expensive


• A cloud data warehouse in production: BigQuery preferred, Snowflake or Databricks fine


• A transformation framework such as Dataform or dbt, and Git as a daily habit


• Enough Python to automate the things that shouldn't need a person


• You document as you go, and you're comfortable owning something outright in a small team