Data / Software Engineer (All Genders)

About Us STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective — providing operators with a decisive edge in contested environments. We are focused on delivering deployable, high-performance systems — not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe, today. About the team Our Data & Analytics team will provide critical cross-functional support across all STARK defence programs. We build robust infrastructure, tools, and data pipelines that ingest and process massive streams of telemetry, sensor, and video data from our autonomous systems. Working in a collaborative and fast-paced engineering environment, our mission is to empower software, hardware, and operational teams with clean, reliable, and real-time data. Your mission As a Data / Software Engineer, you will own the end-to-end data pipelines and tooling supporting STARK's autonomous defence systems. You will design, build, and optimize scalable data architectures to capture, process, and analyze complex telemetry, sensor, and video data across multiple product lines. By automating data flows and creating high-performance internal tools, you will enable rapid decision-making, testing, and continuous deployment across all engineering teams. Responsibilities Design, build, and maintain scalable, reliable data pipelines for real-time ingestion and processing of telemetry, sensor, and video data. Develop robust automation frameworks and internal tooling to stream data workflows across cross-functional STARK programs. Architect cloud infrastructure and data storage solutions leveraging AWS, Azure, or GCP to ensure high availability and low latency. Collaborate with hardware, embedded, and software engineering teams to define data models, interface specs, and telemetry schemas. Optimize data processing pipelines for high throughput, memory efficiency, and sub-second execution in mission-critical environments. Implement comprehensive data quality, monitoring, and alerting systems to proactively detect anomalies and operational issues. Maintain rigorous software engineering standards, including unit testing, CI/CD practices, and clear technical documentation. Qualifications Minimum 3 + years of experience in similar relevant roles Strong proficiency in modern programming languages such as Python, Rust, or Go. Demonstrated hands-on experience building scalable data pipelines and data processing systems. Knowledge of relational and non-relational database systems, as well as object storage. Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and cloud-native architectures. Proven track record of working with high-volume telemetry, sensor data streams, or video