About the role DroneShield is seeking a Senior Software Engineer to join the Data Enablement team within the Sensors & Effectors organisation (Sydney). The Data Enablement function is responsible for capturing, transforming, annotating, and serving high-quality RF datasets to support next-generation detection and disruption algorithm development. This team sits at the intersection of software engineering, data engineering, and real-world data operations. This role will focus on building embedded data capture software and data platform capabilities to support operational data teams. This role is ideal for a hybrid software/data engineer who thrives on solving complex engineering problems, enjoys end-to-end ownership, and is passionate about mentoring others. Responsibilities, Duties and Expectations Build embedded software to capture radio-frequency datasets and ingest RF recordings into on-premises data infrastructure Develop and maintain data transformation pipelines, data quality checks and APIs to deliver high-quality datasets to internal stakeholders Develop and promote testing frameworks, best practices, and design patterns Mentor junior engineers and contribute to a high-performing engineering culture Desirable: Support and improve database systems, including data migrations and user management Who you are You are results-driven, reliable and take full ownership of your projects You take full ownership of technical projects and enjoy producing software that solves a customer need You have a can-do attitude and thrive in a fast-paced, hands-on environment You’re a team player and are passionate about mentoring junior engineers in the team Qualifications, Experience and Skills Bachelor’s degree in Computer Science, Software Engineering, Mechatronics, or a related technical field (or equivalent practical experience) 4 years of experience as a Software Engineer or Data Engineer in production environments Strong proficiency in Python, plus at least one compiled language (Go or C++ preferred) Experience with Docker and environment management Experience working with Kubernetes, particularly in on-premises environments Strong experience with Git, CI/CD pipelines, and modern development workflows Experience designing and building APIs and backend services Experience writing technical design and architecture documentation Desirable (Data & Platform Experience) Experience building and maintaining data pipelines and orchestration systems (e.g. Dagster, Airflow) Solid understanding of data modelling and data warehousing concepts (e.g. incremental models, SCD Type 2) Experience working with SQL, NoSQL, and object storage systems Familiarity with data governance, data quality, and lineage concepts Experience with modern data platforms (e.g. Dagster, Snowflake, Databricks) Experience supporting data annotation or human-in-the-loop workflows Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.