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Publié il y a 52 jours

Full Stack Data Platform Engineer - Freelance

Entreprise
Localisation
Brussels, Belgium
Hybride
Type de contrat
Freelance
Niveau
0vues
0clics

Description du poste

Context

We are looking for a Full Stack Data Platform Engineer to join our Data Platform team. 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.

Missions

  • Develop automation, tooling, and platform engineering solutions using Python and Shell scripting.
  • Implement and manage infrastructure using Terraform and Infrastructure as Code (IaC) principles.
  • Operate and troubleshoot within the AWS ecosystem, including networking, IAM, compute, storage, and other core cloud services.
  • Deploy, operate, and troubleshoot containerized applications using Kubernetes (K8s) and Amazon EKS.
  • Design, develop, and maintain CI/CD pipelines using Git (preferably Bitbucket).
  • Administer Snowflake, including security model, role-based access control (RBAC), privileges, resource hierarchy, and object lifecycle management.
  • Provision and manage Snowflake resources using Infrastructure as Code (Terraform), focusing on automated environment provisioning, permission management, and platform governance.
  • Apply software engineering best practices such as version control, code reviews, testing, automation, and operational excellence.
  • Collaborate effectively in a cross-functional environment with strong analytical, troubleshooting, and communication skills.

Tools & Environment

  • Python, Shell scripting
  • Terraform, Infrastructure as Code (IaC)
  • AWS cloud services (networking, IAM, compute, storage)
  • Kubernetes (K8s), Amazon EKS
  • Git (Bitbucket preferred), CI/CD pipelines
  • Snowflake administration and Terraform provisioning
  • Software engineering best practices

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

Assessment Criteria

  • Candidate possesses the required competencies (hard and soft skills) and cultural fit with the company’s mission and vision (up to 25 points)
  • Candidate has performed similar assignments/projects elsewhere (up to 20 points)
  • Candidate has prior experience with public sector clients (up to 20 points)
  • Candidate is quickly operational due to previous experience with the company (up to 20 points)
  • Candidate speaks and writes the two national languages at business level (up to 15 points)

Exigences du poste

Stack technique :

AWSPythonKubernetesSnowflakeTerraformScripting

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