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DevOps Engineer

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Onsite

DevOps Engineer

Pauwels Consulting

DevOps Engineer

Skills

DockerDatabricksMachine LearningGitHubTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Zaventem, Belgium

Work mode:

Onsite

Published on:

7 September 2026

What they need


At Volve, part of the Pauwels Solution Group, we're looking for a Medior/Senior DevOps Engineer to join our team and build the secure, scalable Azure infrastructure that powers our clients' data and AI platforms.

What will you do?

  • Infrastructure-as-Code: Design and manage cloud environments using Bicep or Terraform, consistent, repeatable, and automated.
  • Azure Networking: Configure and maintain VNets, subnets, NSGs, VNet Peering, and Private/Public Endpoints.
  • CI/CD Pipelines: Build and maintain Git-based DevOps pipelines (YAML) that make deployments faster, safer and more reliable.
  • Security by Design: Implement IAM/RBAC, least-privilege access, network isolation and policy-as-code from day one.
  • Observability: Set up monitoring, logging and alerting on Azure so issues get spotted before they become problems.
  • DataOps/MLOps Support: Work closely with data engineers to streamline cloud infrastructure for data and ML workloads.
  • Azure container apps and azure container registry and best practices to make the two work seamlessly.

Who are we looking for?

Must-haves

  • Azure: At least 3 years of hands-on experience with Azure infrastructure and core services (Azure CLI, networking, compute, storage).
  • IaC: Practical experience with Bicep or Terraform in production environments.
  • CI/CD: Strong Git habits and experience writing YAML pipelines in Azure DevOps or GitHub Actions to deploy single azure deployment and/or deployment stacks.
  • Security: Solid understanding of Managed Identities, Service Principals, RBAC, Private Endpoints and cloud security governance.
  • Curious mindset with an appetite for self-development.
  • Working proficiency in English & Dutch.

Nice-to-haves

  • Experience supporting data platform workloads (Databricks, Azure Data Factory, Data Lake).
  • Familiarity with container orchestration (AKS, Docker).
  • Relevant Azure certifications (e.g. AZ-104, AZ-400).
  • Experience with IoT or industrial data infrastructure.

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