EML is a leading Workers Compensation and Personal Injury Claims Management business with over 4,000 employees fostering a learning culture for long-term careers
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 careers.
The Data Engineer role involves collaborating with data scientists and AI/ML engineers to develop and optimize data pipelines supporting AI initiatives using cutting-edge technology.
EML offers a diverse and collaborative culture, flexible work arrangements, 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 for long-term careers.
Skills & Requirements
Must-have
Data engineering solutions design and build
SQL-based environments expertise
Microsoft Azure and Microsoft Fabric experience
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 and communication
Work-from-home flexibility up to 3 days per week
Supportive and inclusive team culture
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
Ability to translate technical concepts and solve problems
Work Rights
Full Australian Working Rights without restriction