EML is a leading Workers Compensation and Personal Injury Claims Management business. Our goal is to help people get their lives back through ongoing support during their return-to-work journey. We continue to experience ongoing growth and now have over 4,000 dedicated employees. We foster a learning culture that allows for us to continually invest in our employees ensuring a long-term career here at EML.
THE OPPORTUNITY
As we expand, our Technology team is growing rapidly, driving innovation in AI for Workers Compensation. We're transforming the industry with cutting-edge solutions that enhance claims management, improve outcomes, and streamline processes.
At EML, we foster a learning culture, investing in our people to build long-term careers while shaping the future of technology in our sector.
As a Data Engineer, you’ll join our fast-paced, forward-thinking AI team and help shape the future of intelligent solutions. In this role, you’ll collaborate with data scientists, AI/ML engineers, and other specialists to design, develop, and maintain data warehouses, processing pipelines, and databases for both structured and unstructured data.
You’ll work across data integration, cleaning, transformation, and database management — ensuring the data that powers our analytics, machine learning, natural language processing, and AI initiatives is accurate, accessible, and scalable.
This will be a full time, 12 month contract position based in the Sydney office, with flexibility to work from home up to 3 days.
YOUR RESPONSIBILITIES
- Architect, build, and maintain secure, reliable, and scalable data warehouses and data lakes to support machine learning and AI model training, validation, testing, and production, using structured and unstructured data sources.
- Design and implement end-to-end data processing pipelines, ETL processes, and orchestration workflows to enable efficient data integration and processing for AI/ML model development.
- Transform raw data into clean, structured, and high-quality features for AI/ML models — including data labelling, augmentation, feature extraction, version control, validation, cleansing, and deduplication to maintain data accuracy and integrity.
- Develop and enforce data governance, security, and compliance measures, including encryption, access controls, authentication, and regulatory requirements, to safeguard sensitive data assets.
- Create robust monitoring, logging, and alerting solutions for data pipelines and assets, proactively identifying performance issues and delivering optimisation improvements for performance, scalability, and cost efficiency.
ABOUT YOU
- 3+ years of hands-on experience in data warehousing, data lakes, ETL processes, and data modelling.
- Strong programming skills in Python and SQL, with a solid understanding of data processing and manipulation.
- Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, Engineering, or a related field.
- Proven experience working with cloud platforms and services such as AWS S3, EMR, Redshift, Glue, and Athena.
- Extensive experience in designing and implementing scalable data processing pipelines, with familiarity in tools like DBT and strong knowledge of database management for ML/AI projects.
WHAT WE OFFER
We stand together as equals. EML is an equal opportunity employer so by coming to work for us, you will be part of a culture that celebrates diversity and inclusion. We are committed to maintaining a workplace where everyone feels valued and where we show respect, integrity and honesty.
EML provides career opportunities and great employee benefits, including:
• A vibrant, collaborative innovative team culture
• Flexibility with opportunity to WFH when you are fully trained in your role.
• A corporate wellbeing program with discounted health insurance and gym membership
• Access to discounts at over 350 retailers through our Rewards Hub program
• Entitlement to an annual tenure and performance-based recognition reward
• Comprehensive learning and development support
• Companywide events to celebrate success.
• Quarterly Reward and Recognition Awards
• Up to 16 weeks paid parental leave, plus super
We value our people and are committed to supporting our employees by investing in their professional development and providing generous employee benefits. If this position is of interest to you, please apply now.
