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Data & Cloud Engineer (GCP) in Aemstelredamme, Nederland

Aemstelredamme, Nederland

For the Digital Data team at Air France-KLM in Amsterdam, we are looking for an experienced Senior Data & Cloud Engineer. In this role, you will contribute to the development and operation of a modern data platform, working with GTM (Google Tag Manager) data and taking ownership of both data engineering and cloud/platform engineering topics. You are a hands-on and autonomous engineer who can design, build, and improve scalable solutions within a Google Cloud Platform (GCP) environment.

Design, build, and maintain scalable data solutions on GCP


  • Develop and optimize data ingestion, transformation, and orchestration pipelines

  • Design and manage cloud infrastructure using Terraform

  • Build and maintain CI/CD pipelines using GitHub Actions / GitHub Workflows

  • Design, implement, and operate solutions using Apache Kafka and event-driven architectures

  • Design, implement, tune, and operate Google Bigtable

  • Develop production-grade applications and data pipelines using Scala and/or Java

  • Contribute to cloud architecture, automation, and DevOps best practices

  • Perform technical design reviews and contribute to architectural and technical decision-making

  • Work closely with Data Engineers, Product Teams, and other technical stakeholders


  • Extensive experience as a Data Engineer, Cloud Engineer, or Platform Engineer


  • Strong hands-on experience with Google Cloud Platform (GCP)


  • Experience with Terraform and Infrastructure as Code


  • Experience designing and implementing CI/CD pipelines using GitHub Actions / GitHub Workflows


  • Strong understanding of modern cloud and data platform architectures


  • Hands-on experience with Apache Kafka, including platform design, setup, and administration


  • Experience with Google Bigtable, including design, implementation, tuning, and operations


  • Strong software development skills in Scala and/or Java


  • Experience building and maintaining production-grade applications and data pipelines


  • Able to work independently and take ownership of complex technical challenges


  • Strong communication skills and experience working in multidisciplinary teams

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