Data Engineering & Innovation Lead
VIC Group Office - Melbourne, Australia
AUD 122K-139K (estimate) Senior-level Full Time
Tasks
- Build self service analytics for data democratisation
- Design cloud-native data architectures
- Design implement and evolve data engineering solutions
- Develop generative AI and machine learning pipelines
- Drive real time data processing and IoT integration
- Enable predictive analytics and intelligent automation
- Ensure data quality and data governance
- Establish data modeling standards
- Implement ETL and ELT pipelines
- Integrate healthcare interoperability layers
- Lead MLOps practices for AI deployments
- Manage stakeholder requirements and change management
- Serve as data and AI platform owner
Perks/Benefits
- Competitive salary packaging options
- Discounted private health insurance
- Employee assistance program
- Fitness passport
Skills/Tech-stack
Azure | Cloud Computing | Data Architecture | Data Engineering | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Data Processing | Data Quality | Data Standards | Data Warehousing | ELT | ETL | FHIR | Generative AI | HL7 | Healthcare Data | Healthcare data standards | Interoperability | IoT Integration | Lakehouse | MLOps | Machine Learning | Predictive Analytics | Real Time | Real-time Data | Real-time Data Processing | Self-Service | Self-service analytics | Service analytics | Stakeholder management | Streaming Platforms
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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