EML is transforming the Workers Compensation industry with innovative AI-driven solutions that enhance claims management and improve outcomes
Job Summary
EML is transforming the Workers Compensation industry with innovative AI-driven solutions that enhance claims management and improve outcomes.
The Data Engineer role involves collaborating with data scientists and AI/ML engineers to develop and optimize data pipelines across structured and unstructured data.
EML offers a diverse and inclusive culture with flexible work arrangements, comprehensive employee benefits, and strong career development opportunities.
Matching Summary
EML is transforming the Workers Compensation industry with innovative AI-driven solutions that enhance claims management and improve outcomes.
Skills & Requirements
Must-have
Data pipeline design and maintenance
SQL-based environments
Microsoft Azure and Microsoft Fabric
Data integration and transformation
Data quality and reliability
Collaborative development environments
Nice-to-have
AI and machine learning data services
Agile delivery and CI/CD practices
Strong stakeholder engagement
Team communication skills
Work-from-home flexibility
Key Requirements
Full Australian Working Rights without restriction
3+ years commercial data engineering experience
Experience with Azure and Fabric data platforms
Work Rights
Full Australian Working Rights without restriction