AI Data Engineer

1 week ago

Sydney, New South Wales, Australia beBeeDataEngineer Full time $110,000 - $140,000

We are 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.

The Opportunity

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.

We foster a learning culture, investing in our people to build long-term careers while shaping the future of technology in our sector.

About 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.

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
  • We're looking for individuals with 3+ years of hands-on experience in data warehousing, data lakes, ETL processes, and data modelling.
  • Candidates should have strong programming skills in Python and SQL, with a solid understanding of data processing and manipulation.
  • A Bachelor's degree or higher in Computer Science, Information Technology, Data Science, Engineering, or a related field is required.
  • Proven experience working with cloud platforms and services such as AWS S3, EMR, Redshift, Glue, and Athena is essential.
  • Familiarity in designing and implementing scalable data processing pipelines, with tools like DBT and strong knowledge of database management for ML/AI projects is a must.

This role offers the opportunity to work on cutting-edge solutions that drive innovation and transform the industry. If you're passionate about data engineering and want to be part of a fast-paced, forward-thinking AI team, we encourage you to apply.

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