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.
As a Data Engineer, you will collaborate with data scientists and AI/ML engineers to develop and optimise data pipelines supporting structured and unstructured data.
EML offers a diverse and inclusive culture with flexible work arrangements, comprehensive wellbeing programs, and extensive learning and 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
Microsoft Azure and Microsoft Fabric
Data integration and transformation
Data pipeline optimisation
Collaborative development environments
Nice-to-have
AI and machine learning data services
Agile delivery and CI/CD practices
Strong stakeholder engagement
Work-from-home flexibility
Key Requirements
Full Australian Working Rights without restriction
3+ years commercial data engineering experience
Experience with Azure/Fabric data platforms
Work Rights
Full Australian Working Rights without restriction