Data Engineer - SensorFusionAI (AU)

Work with cutting edge AI technology, making the world a safer and more secure place. DroneShield (ASX:DRO) offers an opportunity to solve some of world’s most challenging technical problems in the rapidly growing counter-drone sector. Our customers operate in some of the most challenging and high-stakes environments in the world, including military organisations, government agencies, airports, critical infrastructure operators, and law enforcement. Protecting airspace in these settings requires technology that performs under pressure and teams that understand what’s at stake. At DroneShield, employees work at the leading edge of counter-drone innovation, helping to address real-world security challenges as drone threats continue to evolve globally. With one of the largest listed defence company market capitalisations in Australia, now part of the ASX200 index, DroneShield is experiencing a period of hypergrowth. Revenue has surged from A$57 million in 2024 to over A$190 million in 2025, representing growth of more than 400% year-on-year, with record profitability and cashflow. The total addressable global market for counter-drone is assessed at approximately $100 billion, and is currently at the nascent stage with much of the growth still to come, with DroneShield well positioned as a global market leader, and the only public listed pure-play business in this sector. The company has grown from 11 employees in 2017 to over 450 staff globally today, and is on track to reach around 550 by the end of 2026. This expansion includes investment of over A$50 million annually in R&D, a global pipeline exceeding A$2.5 billion, and continuous scaling of production capacity to meet accelerating demand. The role is based at DroneShield’s central Sydney headquarters. Overseas on-the-ground presence includes Virginia (USA), Netherlands, Denmark, Mexico and Dubai, as well as distributors in over 70 countries worldwide. About the role DroneShield is seeking a Data Engineer to join our team in Sydney, Australia. Reporting to the SensorFusionAI (SFAI) Team Lead, you will develop the core data pipelines and tools that turn real-world, multi-sensor data into actionable AI intelligence — powering systems that operate in the world’s most complex and high-stakes environments. This is a unique opportunity to apply your data engineering expertise in a deeply mission-driven company, working with diverse, high-volume, real-world sensor data (e.g., RF, optical, radar) in dynamic environments. Responsibilities, Duties and Expectations Design, develop, maintain and/or refine internal software tools used for processing data, workflow automation, benchmarking and testing the SensorFusionAI engine Analyse real-world sensor data, identify critical parameters and plan data collection strategy ensuring our target classification models remain at the cutting edge Lead data analysis during new sensor integrations, evaluating detection accuracy and their fit for use within our sensor fusion framework Liaise with drone pilots, QA and field-service engineers to collect real-world data from our multi-sensor installations Oversee data annotation processes and quality control to ensure consistent, model-ready datasets Implement and maintain automated workflows and pipelines (e.g., Git, CI/CD, MLOps, DataOps) to uphold the highest performance and quality standards Continuously improve data engineering pipelines to ensure performance, scalability, and reliability Work in close collaboration with relevant stakeholders to troubleshoot and resolve bug/issue reports Maintain a high standard of software quality through documentation, testing, and code reviews Collaborate closely with other engineers and become a valued member of an autonomous, cross-functional team Qualifications, Experience and Skills BS degree in Computer Science, Mathematics or similar technical field of study or equivalent practical experience Minimum 3 years of experience in a professio ... (truncated, view full listing at source)