Data Platform Engineer

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

Descripción de la vacante

G-Star RAW is seeking a Data Platform Engineer to build and maintain data models used by Finance, Retail, Ecommerce and Wholesale teams on Google Cloud.

You will own models from design to documentation, ensure data quality, manage running costs, and write tests. Collaborate with stakeholders to translate reporting needs into reliable data products, in a small team with clear ownership. You will optimize pipelines, monitor performance, and contribute to cost-aware architecture.

Formación

• 3+ years building data pipelines in production.
• Strong SQL and ability to explain why a query is expensive.
• Cloud data warehouse in production (BigQuery preferred).
• A transformation framework such as Dataform or dbt, and Git daily use.
• Some Python for automation.
• Documentation and ownership in a small team.

Responsabilidades

• Build and maintain data models in Dataform on BigQuery, from a business question through to a table reported on.
• Own the models’ documentation, data quality, and running cost.
• Write tests and assertions to catch problems before the business notices them.
• Keep the platform’s cost under control and measure changes.
• Collaborate with Finance, Retail, Ecommerce and Wholesale to translate reporting needs into clear specifications.
• Support ingestion via Airbyte, Terraform infrastructure, and Kubernetes orchestration.

Conocimientos

Strong SQL

Python

Documentation

Stakeholder collaboration

Data modeling

Herramientas

BigQuery

Dataform

dbt

Airbyte

Terraform

Kubernetes

Git

Descripción del empleo

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

Nice to have

• SAP or another ERP as a source system
• Terraform, Kubernetes or CI/CD
• Tableau or a comparable BI tool
• retail or ecommerce data

Amsterdam, Netherlands