Data Analyst (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 militaries, government agencies, airports, critical infrastructure, law enforcement and many others.With one of the largest listed defence company market capitalisations in Australia, part of the ASX200 index, and having raised approximately $250m in 2024 alone, DroneShield is undergoing hypergrowth stage, fuelled by rapidly increasing use of drones for nefarious applications, from battlefield, to terrorism, to contraband delivery and commercial espionage.This role is in the DroneShield Sydney headquarters in Sydney CBD. There are approximately 380 staff based in the 4,000sqm facility today, scheduled to grow to approximately 500 staff by end of 2026. Overseas on the ground presence includes Virginia (USA), Netherlands, Denmark, Mexico and Dubai, as well as distributors in over 70 countries globally.About The RoleWe are looking for a Data Analyst to join our Data Engineering team. The team is passionately focused on helping our internal customers, particularly our machine learning and AI teams, interface with our rich data services using robust and performant APIs, data pipelines and front-end interfaces.Responsibilities, Duties And ExpectationsProcess and deliver data from the field to a team of AI/ML EngineersEnsure the collected data is of high quality and error freeAutomate data delivery pipelines and workflowsPerform quality checks and generate metrics from field data Build new features and capabilities in a complex AI microservices and MLOps environmentTake operational responsibility for the services and codebase that you will developPerform ad-hoc analysis on large datasetsCollaborate with other engineers and designers between AI, frontend, backend Write and review code with best practices of readability, testing patterns, documentation, reliability, security, performance considerations in mindDevelop with an Agile mindset, constantly searching for ways to improve efficiency of processQualifications, Experience And SkillsBS/MS in Computer Science, Software Engineering, or equivalent practical experienceBetween 3-5-years of experience as a Data Analyst or Data EngineerExperience writing high quality Python code for data analysis and/or data engineeringStrong experience in SQLExperience with Dagster, dbt or equivalent toolingFamiliar with Docker, GitLab, KubernetesExperience working in Linux environmentsNote for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.