Azure Support Engineer

C&F is a technology services company providing innovative solutions in Data Management,Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry.

You will be responsible for:

• Monitor the health, performance and capacity of Azure platform components, including Azure Databricks and Azure Data Factory (Pipelines)

• Troubleshoot issues across the Azure ecosystem, particularly in Databricks, ensuring quick resolution and minimal disruption to the business

• Provide operational support for data pipelines, jobs, notebooks, ETL/ELT workflows, and CI/CD processes

• Collaborate with Data Engineers, Cloud Architects, and DevOps teams to resolve platform incidents

• Maintain and improve observability using Azure Monitor, Log Analytics, Application Insights, and custom dashboards

• Automate repetitive operational tasks

• Work with Azure DevOps (ADO) for CI/CD, source control, release management and deployment workflows

• Maintain documentation, knowledge base entries, runbooks, and operational procedures

• Run and document RCAs

• Ensure all internal and external customer interactions are handled professionally and with the highest level of service

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What you will need:

• Excellent command of English

• Strong analytical and problem-solving skills

• Hands-on experience with Microsoft Azure (monitoring, operations, troubleshooting)

• Operational understanding and practical experience with: Azure Databricks (clusters, jobs, layers, notebooks, workspace operations), Azure Data Factory Pipelines (monitoring, debugging, triggers, integration runtimes), Azure DevOps (ADO) (repositories, pipelines, boards)

• Experience with automation and scripting (preferably using PowerShell, Python, Bash)

• Familiarity with Azure Monitor, Log Analytics, and alerting

• Familiarity with Power BI

• Ownership mindset and a proactive approach to improving platform reliability

• Service-oriented attitude, patience, thoroughness and good attention to detail

• Availability and readiness to exceptionally work in the late shift (16:00-00:00 CEST)