Azure Data Engineer
Azure Data Engineer
Sydney or Newcastle, NSW
$150,000 incl. super
5+ year’s experience
About the Role
We’re looking for an experienced Azure Data Engineer to support and maintain enterprise-scale data pipelines in a production environment. This role is focused on ensuring the reliability, performance, and integrity of Azure Data Factory (ADF) pipelines across a multi-cloud data ecosystem.
You’ll play a key role in monitoring data ingestion, resolving incidents, collaborating with cross-cloud teams, and ensuring data platforms meet SLA, security, and governance standards.
Key Responsibilities
- Support, monitor, and troubleshoot Azure Data Factory pipelines in production
- Manage data ingestion from Oracle, SQL Server, PostgreSQL, flat files, and web services
- Track pipeline executions, SLA adherence, and proactively escalate issues
- Perform incident analysis, implement fixes, and document root causes and resolutions
- Validate data integrity across source and target systems post-execution
- Automate alerts and notifications for pipeline failures and SLA breaches
- Collaborate with AWS teams to support multi-cloud ETL workflows and SAS DW integrations
- Participate in release management for new pipelines and enhancements
- Ensure all operations comply with security, governance, and data standards
Skills & Experience
- Strong hands-on experience with Azure Data Factory
- Solid SQL skills and ETL troubleshooting experience
- Experience integrating APIs and external data sources
- Familiarity with AWS data platforms and cross-cloud operations
- Knowledge of job scheduling, monitoring, and alerting tools
- Proven background in production support and operational data environments
Qualifications
- Bachelor’s degree in Data Engineering, Computer Science, or a related field
- 5+ years’ experience in ETL operations and production support
- Azure Data Engineer certification (preferred)
Why Apply?
- Choice of Sydney or Newcastle location
- Work with modern Azure data platforms in a complex, enterprise environment
- Opportunity to collaborate across cloud ecosystems and mature data operations