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Data Engineer

Posted 4 days 18 hours ago by Station

Permanent
Not Specified
Other
Noord-Holland, Netherlands
Job Description

GCP Data Engineer - Netherlands


Overview

An exciting opportunity has opened up within a well-established, high-growth company that's investing heavily in its data capabilities. They're on the lookout for an experienced Data Engineer with a strong background in Google Cloud Platform (GCP) to help scale and shape data systems that drive business insight and customer experience.


Key Responsibilities

  • Design and build scalable data infrastructure, working across real-time and batch processing use cases
  • Collaborate with product and analytics teams to define metrics, build reliable data models, and drive informed decision-making
  • Automate and maintain end-to-end data pipelines that support key business initiatives and reporting needs
  • Bring domain-driven thinking to the development of reusable data products
  • Lead efforts to improve data architecture, system performance, and overall engineering standards
  • Act as a subject matter expert for GCP data tooling and mentor others on best practices
  • Stay current with the evolving data landscape, identifying opportunities for improvement across the data platform


Core Tech Stack & Skills

  • Experience with GCP services including BigQuery, Dataflow (or Apache Beam), Pub/Sub, and Cloud Composer (or Apache Airflow)
  • Strong command of Python and experience working with dbt
  • Understanding of stream processing and designing for both operational and analytical needs
  • Exposure to modern data architecture principles and the design of scalable data products
  • Comfortable communicating with both technical and non-technical stakeholders
  • Independent, proactive mindset with strong collaboration skills


Desirable Extras

  • Familiarity with machine learning pipelines and MLOps principles
  • Experience working in remote or distributed environments
  • Passion for user-focused products and working in dynamic, fast-moving teams

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