Data Engineer

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.

As a Data Engineer within our AI & Data Science team, you will play a key role in shaping the future of intelligent, data-driven solutions.
 

Working in a fast-paced, forward-thinking environment, you’ll collaborate with data scientists, AI/ML engineers and technical stakeholders to support the design, development and optimisation of data pipelines and data assets across both structured and unstructured datasets.
 

You’ll be responsible for supporting data integration, transformation and quality, ensuring data is reliable, accessible and fit for use across reporting, analytics and AI initiatives.
 

A key focus of the role will be working with SQL-based environments, both on-premises and within Microsoft Azure and Microsoft Fabric, contributing to the ongoing evolution of our data platform.

This will be a full time, 12 month contract based in our Sydney office, with work-from-home flexibility (up to 3 days per week).
 

YOUR RESPONSIBILITIES

• Design, build and maintain scalable data pipelines to support structured and unstructured data across reporting, analytics and AI use cases.
• Clean, transform and integrate data from multiple sources, ensuring quality, consistency and usability across platforms.
• Manage and optimise databases and data warehouses, supporting efficient storage, retrieval and performance.
• Monitor and maintain data pipelines and assets, driving improvements in performance, scalability, cost efficiency and compliance.
• Collaborate with data scientists and stakeholders to deliver fit-for-purpose data solutions, while documenting processes and continuously improving data practices.

ABOUT YOU

• Full Australian Working Rights without restriction.
• 3+ years’ experience designing and building data engineering solutions in a commercial environment.
• Strong knowledge of data engineering tools, platforms and architecture, with experience across data ingestion, processing and storage (Azure/Fabric advantageous).
• Experience working in collaborative development environments, including source control, Agile delivery and CI/CD practices.
• Understanding of data services supporting analytics, machine learning and AI (nice to have, not essential).
• Strong stakeholder engagement and communication skills, with the ability to translate technical concepts and solve problems in a team environment.

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 diverse and collaborative team culture like no other

• Flexibility to work from home to support work/life balance

• A corporate wellbeing program with discounted health insurance and gym membership

• Generous discounts from over 350 retailers through our RewardsHub program

• Comprehensive learning and development opportunities to help you reach your full potential

• Access to support and counselling services with work or personal matters, through our Employee Assistance Program

• Companywide events to stay connected and celebrate success

• Entitlement to annual company incentive scheme + salary reviews

• 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.