EML is transforming the Workers Compensation industry with cutting-edge AI solutions that enhance claims management and improve outcomes
Job Summary
EML is transforming the Workers Compensation industry with cutting-edge AI solutions that enhance claims management and improve outcomes.
The Data Engineer role involves working in a fast-paced environment to design and optimize data pipelines supporting analytics and AI initiatives.
EML offers a diverse and inclusive culture with flexible work options, comprehensive employee benefits, and strong professional development opportunities.
Matching Summary
EML is transforming the Workers Compensation industry with cutting-edge AI solutions that enhance claims management and improve outcomes.
Skills & Requirements
Must-have
Data engineering solutions design
SQL-based environments expertise
Microsoft Azure and Microsoft Fabric
Data pipeline development and maintenance
Data integration and transformation
Collaborative development environments
Nice-to-have
AI and machine learning data services
Strong stakeholder engagement skills
Agile delivery and CI/CD practices
Work-from-home flexibility
Key Requirements
Full Australian Working Rights without restriction
3+ years commercial data engineering experience
Experience with data ingestion, processing and storage
Experience in collaborative development environments
Work Rights
Full Australian Working Rights without restriction