EML is transforming the Workers Compensation industry with cutting-edge AI solutions to enhance claims management and improve outcomes
Job Summary
EML is transforming the Workers Compensation industry with cutting-edge AI solutions to enhance claims management and improve outcomes.
The Data Engineer role involves collaborating with data scientists and AI/ML engineers to develop and optimize data platforms in a fast-paced environment.
EML offers a diverse and inclusive culture with flexible work arrangements, comprehensive benefits, and strong commitment to employee development.
Matching Summary
EML is transforming the Workers Compensation industry with cutting-edge AI solutions to enhance claims management and improve outcomes.
Skills & Requirements
Must-have
Data pipeline design and maintenance
SQL-based environments expertise
Experience with Microsoft Azure and Fabric
Data integration and transformation
Collaborative development environments
Agile delivery and CI/CD practices
Nice-to-have
Understanding of AI and machine learning data services
Strong stakeholder engagement skills
Ability to translate technical concepts
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 with source control and CI/CD
Strong communication and problem-solving skills
Work Rights
Full Australian Working Rights without restriction