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Data Platform Engineer

  • Brussel, Brussel
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Full Stack Data Platform Engineer

The ideal candidate is passionate about building and operating cloud-native data platforms, with a strong engineering mindset and hands-on experience across infrastructure, automation, and software development.

Key Responsibilities & Required Skills:

  • Strong proficiency in Python and Shell scripting for automation, tooling, and platform engineering.
  • Hands-on experience with Terraform and Infrastructure as Code (IaC) principles.
  • Deep understanding of the AWS ecosystem, including networking, IAM, compute, storage, and other core cloud services.
  • Solid experience with Kubernetes (Kubernetes/K8s) and Amazon EKS, including deploying, operating, and troubleshooting containerized applications.
  • Proficiency with Git (preferably Bitbucket) and experience designing, developing, and maintaining CI/CD pipelines.
  • Good understanding of Snowflake administration, including its security model, role-based access control (RBAC), privileges, resource hierarchy, and object lifecycle management.
  • Experience provisioning and managing Snowflake resources using Infrastructure as Code (Terraform), with an understanding of automated environment provisioning, permission management, and platform governance.
  • Strong understanding of software engineering best practices, including version control, code reviews, testing, automation, and operational excellence.
  • Excellent analytical, troubleshooting, and communication skills, with the ability to work effectively in a collaborative, cross-functional environment.

Preferred Qualifications (Nice to Have):

  • Experience with Java and the Spring Boot ecosystem.
  • Knowledge of Apache Kafka and event-driven architectures.
  • Experience with cloud-native data platforms, DevOps practices, and platform engineering.

Project Duration:

ASAP until 31/03/27 (extendable).