EML is a leading Workers Compensation and Personal Injury Claims Management business committed to supporting employees and fostering a learning culture
Job Summary
EML is a leading Workers Compensation and Personal Injury Claims Management business committed to supporting employees and fostering a learning culture.
As a Data Engineer, you will collaborate with data scientists and AI/ML engineers to develop and optimize data pipelines supporting structured and unstructured datasets.
EML offers a diverse and inclusive culture with flexible work arrangements, comprehensive benefits, and professional development opportunities.
Matching Summary
EML is a leading Workers Compensation and Personal Injury Claims Management business committed to supporting employees and fostering a learning culture.
Skills & Requirements
Must-have
Data pipeline design and maintenance
SQL-based environments
Microsoft Azure and Microsoft Fabric
Data integration and transformation
Collaborative development environments
Agile delivery and CI/CD practices
Nice-to-have
Experience with AI and machine learning data services
Strong stakeholder engagement skills
Ability to translate technical concepts
Work-from-home flexibility
Key Requirements
3+ years data engineering experience
Full Australian Working Rights without restriction
Work Rights
Full Australian Working Rights without restriction