Data Platform Engineering Team Lead (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 counterdrone sector. Our customers are some of the most demanding in the world, including militaries, government agencies, airports, critical infrastructure, law enforcement and many others. The counterdrone sector is rapidly changing, with DroneShield being in an arms race against state-backed drone manufacturers 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 counterdrone 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 You’ll build and lead a team responsible for a significant uplift of our tools and infrastructure for data capture, ingest, storage, annotation, and service. This will mean a combination of in-house tool development and integration with off-the-shelf solutions. The position will report to the Engineering Manager, Algorithms, in the Sensors & Effectors group. Responsibilities, Duties and Expectations Build and lead a team of Data and Software Engineers to develop tooling for data capture, ingest, storage, annotation, and service. Anticipate and respond to the needs of your customers, and drive solutions until they are successful Develop technical and execution strategy to ensure that tools are built in a robust and scalable way within a cohesive end-to-end data tooling architecture. Ensure software stacks are well instrumented and routinely tested to enable continual assessment and improvement against key metrics. Create and deliver comprehensive training materials and workshops to teams across the business Spot opportunities where off-the-shelf products exist to solve our problems Collaborate with other teams to drive procurement and allocation of storage and compute resources Automate away the operational tasks of your and other teams to help the business scale Qualifications, Experience and Skills Bachelor’s degree in Computer Science, Data Science, Mathematics or similar technical field of study, or equivalent practical experience. Experience leading a team of Engineers (3+ years) Experience with Python, and one or more compiled languages (Go or C++ preferred) Experience with large scale data operations and associated infrastructure/platforms (e.g. Kubernetes, Snowflake, Spark, Databricks). Experience with AI/ML based systems (5+ years) Ability to translate business requirements and objectives between the engineering and executive team Ability to work in a multidisciplinary team, communicating effectively with engineers from non-software / data science backgrounds. Track record for delivering commercial solutions through the entire life cycle Electronic Warfare (EW) experience is highly valued Who you are You thrive leading teams of people You enjoy mentoring others to adopt industry standard pract ... (truncated, view full listing at source)