Data Platform Engineer

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

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