Data Engineer
Melbourne, Victoria 3000, Australia
AUD 80K-90K (estimate) Entry-level Full Time
Tasks
- Collaborate with partners on deployments
- Convert business use cases to technical designs
- Create data dictionaries
- Define acceptance criteria and ROI
- Define data quality checks
- Deliver end-to-end data initiatives
- Deliver fixes and preventive improvements
- Enforce security policies and support audit readiness
- Ensure ISO 27001 and Australian Privacy Act compliance
- Ensure data quality and reliability
- Implement data pipelines for SFTP and Dynamics CRM
- Implement observability
- Maintain data backlog with delivery forecasts
- Maintain data product SLAs
- Manage data pipeline cutover and monitoring
- Perform incident response and root cause analysis
- Produce solution documentation and runbooks
- Track data lineage
Perks/Benefits
- Event tickets
- Free home internet
- Mobile phone plan
- Paid parental leave
- Recognition rewards
- Samsung product discounts
- Wellbeing support
- Work anniversary rewards
Skills/Tech-stack
Access Control | Azure Data | Azure Data Factory | Azure Logic | Azure Logic Apps | Azure Services | Backup and Restore | Data Factory | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data masking | Delta Lake | Dynamics CRM | ISO 27001 | Logic Apps | Microsoft Fabric | Notebooks | Observability | OneLake | Parquet | Privacy Compliance | PySpark | Role-Based Access | Role-Based Access Control | SFTP | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
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