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 part of our diverse team based in Sydney, you will help make a positive impact on someone’s life every day. You will feel great satisfaction knowing your talent and hard work has a purpose.
This role offers the opportunity for a skilled, passionate and curious Data Engineer to be involved in the development of new capabilities within EML and to grow their own skillset in data requirements for modern AI and analytics tasks.
The role works with staff in the Predictive Analytics and AI teams on the development and delivery of new analytics and AI products to EML’s third-party claims management and specialised insurer operations.''
This will be a permanent, full-time position based in the Sydney office, with flexibility to work from home.
YOUR RESPONSIBILITIES
- Designing and building data processes and assets for structured and unstructured data used in analytics, machine learning, NLP and AI tasks (including data pipeline development, data cleaning, transformation and integration, database management).
- Documenting and maintaining data processes and assets to optimise performance and ensure security and compliance.
- Collaborating with data science and AI-focused staff on requirement gathering, design, testing and implementation for necessary infrastructure and tools.
- Contributing to innovation and improvement of EML’s data infrastructure.
ABOUT YOU
- 3+ years’ experience in a data engineer role designing and building engineering solutions to meet business requirements.
- In-depth understanding of and experience with Azure-based data engineering and analytics tools (e.g. Azure Data Lake, Azure Data Factory, Azure Synapse Analytics).
- Solid understanding of and hands on experience with data querying and programming languages and tools, including SQL and Python.
- Excellent understanding of data ingestion, processing, storage and architecture.
- University degree in Computer Science or similar is preferred but other relevant computing, technology or quantitative-based areas will also be considered.
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.
