Data Platform DevOps Engineer – Microsoft Fabric & Azure – Remote Europe – Remote Europe

We are looking for a Data Platform DevOps Engineer to design, build, automate and operate an enterprise data platform based on Microsoft Fabric and Microsoft Azure .

You will combine platform engineering, DevOps and data infrastructure expertise to deliver reliable, secure and scalable data services, with a strong focus on Microsoft Fabric, CI/CD, automation, observability and cloud operations.

Remote in Europe – Employee or Contractor – Fluent English – Work permit not provided

Tasks and Responsibilities

• Design, build and maintain the Microsoft Fabric data platform , including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence and Power BI environments;
• Build and maintain CI/CD pipelines using Azure DevOps, Fabric Git integration, deployment pipelines, REST APIs and automation tooling;
• Automate infrastructure provisioning, configuration and deployments using Infrastructure as Code (IaC) and scripting;
• Manage Fabric workspaces, capacities and platform components, including performance, resource utilization and cost optimization;
• Implement monitoring, observability and alerting across the data platform and support incident response and root cause analysis;
• Implement platform security, including RBAC, Microsoft Entra, managed identities, encryption, access controls and data protection ;
• Support scalable ETL/ELT, data pipeline and OneLake architectures , including orchestration, storage optimization and platform integrations;
• Collaborate with data engineers, data scientists, analysts, developers, security and compliance teams to improve platform reliability and developer experience.

Profile

• Bachelor’s or Master’s degree;
• 5+ years of experience in DevOps, platform engineering or Site Reliability Engineering (SRE);
• 3+ years of hands-on experience with Microsoft Azure and Azure DevOps ;
• Strong experience with Microsoft Fabric or related Microsoft data platforms , such as Azure Synapse Analytics, Azure Data Factory or Power BI;
• Experience deploying and managing Microsoft Fabric workspaces, capacities and items , with knowledge of OneLake architecture;
• Strong knowledge of CI/CD, Infrastructure as Code and deployment automation ;
• Proficiency with Python, PowerShell, Bash and SQL ;
• Experience with cloud storage and managed database services, as well as scalable ETL/ELT and data pipeline orchestration ;
• Strong knowledge of monitoring, observability, cloud security, identity management and data platform performance optimization;
• Fluent English, both written and spoken.

Experience with Terraform, Ansible, ARM templates, GitHub Actions, Docker, Kubernetes, Fabric REST APIs, Microsoft Purview, Power BI administration, multi-region or multi-cloud environments would be an advantage.

Knowledge of Delta Lake, Parquet, PySpark, data lakehouse and medallion architectures, real-time analytics, streaming, MLOps or AI workload integration would also be beneficial.

Key Technologies & Skills

Microsoft Fabric, Microsoft Azure, Azure DevOps, DevOps, Platform Engineering, OneLake, CI/CD, Infrastructure as Code, Python, PowerShell, SQL, Azure Data Factory, Data Lakehouse, ETL/ELT, Observability