Cloud/Platform Engineer – Azure Data Platform

Work Regime: Full-time, 2–3 days onsite per week

Languages: English and Dutch C1/C2/Native

• Strong hands-on experience with Microsoft Azure Cloud Infrastructure.
• Solid experience with Terraform and Infrastructure as Code (IaC), including reusable modules and infrastructure lifecycle management.
• Strong understanding of Git, branching strategies, pull requests, and code reviews.
• Proven experience designing, implementing, and troubleshooting CI/CD pipelines.
• Databricks architecture and Unity Catalog.
• Workspace administration and access management.
• Compute, networking, and infrastructure automation.
• Platform-level troubleshooting and architectural decision-making.
• Strong problem-solving skills, technical ownership, and the ability to investigate complex issues independently.
• Excellent written and verbal English communication skills.
• Azure networking, VNets, DNS, NSGs, Private Endpoints, and Azure Firewall.
• Microsoft Entra ID, RBAC, Managed Identities, and workload identity federation.
• Docker, Kubernetes, AKS, Helm, and GitOps tools such as Argo CD or Flux.
• Data platform engineering, lakehouse architecture, MLflow, Apache Spark, and Azure Data Factory.
• Azure DevOps, GitHub Actions, scripting, monitoring, and observability tools.
• Design, implement, and maintain Azure infrastructure using Terraform.
• Build and optimize CI/CD pipelines and deployment automation.
• Develop reusable infrastructure modules and standardized platform components.
• Support data engineering, analytics, AI/ML, and application workloads.
• Improve platform security, reliability, observability, and cost efficiency.
• Troubleshoot infrastructure and deployment issues while collaborating with engineering teams.

Ideal Candidate: A hands-on engineer with strong Azure, Databricks, Terraform, and CI/CD fundamentals, demonstrating technical depth, automation-first thinking, ownership, and a commitment to quality.