L2/L3 Application Support Engineer - Azure Data Factory & Databricks

About the role

This covers Azure Data Factory pipelines, Azure Databricks notebooks, self-hosted integration runtimes, pipeline Function Apps and supporting Azure services. Together these move HR, identity, procurement, finance, fuel and operational data between enterprise systems.

What you'll do

• Incident management and service restoration
• Own assigned ServiceNow incidents through resolution: pipeline and notebook failures, missing or duplicate data, authentication and API failures
• Diagnose failures using ADF monitoring, Databricks job runs, Spark logs and source and target data. Rerun, backfill or deduplicate under documented procedures
• Prioritise feeds with downstream business impact, such as identity lifecycle (joiner/leaver), procurement and accounts payable, finance claims and executive reporting
• Monitoring and operational health

What you need

• Databricks
• Azure Data Factory
• ServiceNow
• ITIL
• Azure
• SQL
• Any graduate

Good to have

• Power BI
• Incident response
• Root cause analysis
• Spark
• CI/CD
• REST APIs