Azure Support Engineer

Quick Facts

Role: Azure Support Engineer

Description

Provide operational support for Azure data platform components, focusing on monitoring, troubleshooting, and ensuring reliability for Azure Databricks and Azure Data Factory pipelines. Support data pipeline jobs, notebooks, ETL/ELT workflows, and CI/CD processes, while improving observability and automating repetitive operations. Maintain runbooks and documentation and run RCAs, collaborating with Data Engineers, Cloud Architects, and DevOps to resolve incidents.

Responsibilities

• Monitor Azure platform health, performance, and capacity (including Databricks and Data Factory)
• Troubleshoot issues across the Azure ecosystem, especially Databricks
• Provide operational support for pipelines, jobs, notebooks, ETL/ELT workflows, and CI/CD
• Collaborate with Data Engineering, Cloud Architecture, and DevOps to resolve incidents
• Maintain and improve observability using Azure Monitor, Log Analytics, Application Insights, and dashboards
• Automate repetitive operational tasks
• Use Azure DevOps for CI/CD, source control, release management, and deployment workflows
• Maintain documentation, knowledge base entries, runbooks, and operational procedures
• Run and document RCAs
• Handle customer interactions professionally

Requirements

• Excellent command of English
• Strong analytical and problem-solving skills
• Hands-on experience with Microsoft Azure (monitoring, operations, troubleshooting)
• Operational understanding/experience with Azure Databricks (clusters, jobs, layers, notebooks, workspace operations)
• Operational understanding/experience with Azure Data Factory Pipelines (monitoring, debugging, triggers, integration runtimes)
• Operational understanding/experience with Azure DevOps (ADO) (repositories, pipelines, boards)
• Experience with automation and scripting (PowerShell, Python, Bash preferred)
• Familiarity with Azure Monitor, Log Analytics, and alerting
• Familiarity with Power BI
• Ownership mindset and proactive approach to improving reliability
• Service-oriented attitude, patience, thoroughness, attention to detail
• Availability for late shift (16:00–00:00 CEST)

Benefits

• Learning and development: flexible English language reimbursement (after probation) and individual development budget
• Private medical care, sports card, preferential life insurance; Fruit Tuesdays and Wednesdays
• Hybrid work setup (mostly remote for delivery teams; enabling functions in the office at least once a week)
• Office and team activities, competitions, and chance to support causes via CF4GOOD
• Collaborative workplace culture built on people-first values