EML is a leading Workers Compensation and Personal Injury Claims Management business with over 4,000 employees fostering a learning culture
Job Summary
EML is a leading Workers Compensation and Personal Injury Claims Management business with over 4,000 employees fostering a learning culture.
The Data Engineer role involves collaborating with data scientists and AI/ML engineers to develop and optimize data pipelines and assets across structured and unstructured datasets.
EML offers a diverse and inclusive workplace culture with flexible work-from-home options, comprehensive wellbeing programs, career development opportunities, and generous employee benefits.
Matching Summary
EML is a leading Workers Compensation and Personal Injury Claims Management business with over 4,000 employees fostering a learning culture.
Skills & Requirements
Must-have
Data engineering solutions design and build
SQL-based environments including Microsoft Azure
Data integration, transformation and quality
Collaborative development environments
Source control and CI/CD practices
Nice-to-have
Experience with AI and machine learning data services
Strong stakeholder engagement and communication skills
Agile delivery experience
Work-from-home flexibility
Key Requirements
Full Australian Working Rights without restriction
3+ years experience in commercial data engineering
Experience with Azure and Microsoft Fabric data platforms
Work Rights
Full Australian Working Rights without restriction