We are looking for an experienced Senior Platform Engineer (Azure / DevOps) to design, build, automate, and operate modern cloud-based data platforms. The role combines hands-on Azure platform engineering, Infrastructure as Code, Kubernetes, CI/CD, security, and platform operations, with a strong focus on scalable and reliable data platform environments.

Start Date: ASAP
Location: Remote, EU based
Language: English
Contract Type: B2B
Duration: Until the end of 2026, with possible prolongation

Responsibilities

• Implement and configure cloud platform capabilities for new business use cases.
• Build and operate modern data platform services primarily in Microsoft Azure.
• Ensure platform solutions follow established architecture, security, and operational standards.
• Collaborate with product and engineering teams to understand technical requirements and platform dependencies.
• Develop and maintain Infrastructure as Code (IaC) using Terraform and/or Bicep.
• Automate platform provisioning, configuration, deployment, and operational processes.
• Build and improve self-service platform capabilities for internal consumers.
• Manage and operate cloud-native data services, ensuring availability, reliability, scalability, and performance.
• Administer Kubernetes clusters and containerized workloads.
• Implement and maintain CI/CD pipelines using Azure DevOps.
• Implement monitoring, logging, alerting, and observability solutions.
• Troubleshoot platform incidents, perform root-cause analysis, and contribute to service improvements.
• Support modernization initiatives and migration of legacy workloads to cloud-native technologies.
• Evaluate and introduce new platform technologies where appropriate.
• Apply enterprise security standards, IAM configurations, and secure-by-default principles.
• Ensure platform deployments comply with relevant security and regulatory requirements.
• Identify opportunities to optimize platform utilization, operational efficiency, and technical debt.

Requirements

• Multiple years of experience as an Azure Platform Engineer, Cloud Engineer, Data Platform Engineer, or in a similar role.
• Strong hands-on experience with Microsoft Azure, particularly:
  • Azure Data Lake Storage Gen2 (ADLS)
  • Azure Data Factory (ADF)
  • Azure Databricks
  • Azure Synapse Analytics
• Strong understanding of modern data platform and Lakehouse architectures, data integration patterns, and data modeling concepts.
• Hands-on experience implementing cloud-native solutions in Microsoft Azure; experience with GCP is an advantage.
• Strong experience with Terraform and/or Bicep.
• Strong knowledge of Azure networking and security, including:
  • Virtual Networks (VNets)
  • Private Endpoints
  • Managed Identities
  • Key Vault
  • RBAC
  • Network Security Groups
• Strong experience with Kubernetes and containerized workloads.
• Hands-on experience with Azure DevOps, CI/CD pipelines, and automation.
• Experience implementing monitoring, logging, alerting, and observability solutions.
• Proven experience building and operating scalable, highly available, and reliable cloud platforms.
• Strong troubleshooting, debugging, and problem-solving skills.
• Experience working in Agile and DevOps environments.
• Good understanding of the conceptual architecture behind Databricks and modern Lakehouse environments.

Nice to Have

• Experience with Microsoft Purview, including data governance, cataloging, metadata management, and data lineage.
• Experience with streaming and real-time data technologies such as Azure Event Hubs, Kafka, or Spark Structured Streaming.
• Experience with GCP platform services.
• Experience with Agentic AI orchestration platforms and AI platform engineering concepts.
• Knowledge of Azure AI Services and enterprise AI platform architectures.
• Experience with platform engineering and self-service infrastructure concepts.
• Relevant Azure certifications, such as:
  • Azure Solutions Architect Expert
  • Azure DevOps Engineer Expert
  • Azure Data Engineer Associate