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# DevOps Engineer

- **Company:** Pauwels Consulting
- **Location:** Zaventem, Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Cloud Computing Security, Continuous Integration, Data Infrastructure, DevOps, Github, Identity and Access Management, Subnetting, Peering, Role-Based Access Control, DataOps, YAML, Data Logging, Azure Data Factory, Delivery Pipeline, Azure Powershell, Git, Data Lakes, Kubernetes, Bicep, Machine Learning Operations, Terraform, Docker, Databricks
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2851197781-devops-engineer

## About the Role

* 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.

## Description

* 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.


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