EML is a leading Workers Compensation and Personal Injury Claims Management business with over 4,000 employees fostering a learning culture for long-term career growth
Job Summary
EML is a leading Workers Compensation and Personal Injury Claims Management business with over 4,000 employees fostering a learning culture for long-term career growth.
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 across reporting, analytics, and AI initiatives.
EML offers a diverse and inclusive culture with flexible work-from-home options, comprehensive wellbeing programs, generous employee benefits, and strong professional development opportunities.
Matching Summary
EML is a leading Workers Compensation and Personal Injury Claims Management business with over 4,000 employees fostering a learning culture for long-term career growth.
Skills & Requirements
Must-have
Data pipeline design and maintenance
SQL-based environments
Microsoft Azure and Microsoft Fabric
Data integration and transformation
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 data ingestion, processing and storage
Strong communication and problem-solving skills
Work Rights
Full Australian Working Rights without restriction