Data Pipelines Specialist

5 days ago

Sydney, New South Wales, Australia beBeeDataEngineer Full time $136,000 - $164,000

About our ideal candidate

We are seeking a skilled professional to join our team in Sydney, Australia. This individual will be responsible for developing core data pipelines and tools that turn real-world, multi-sensor data into actionable 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:

  • Design, develop, maintain, and refine internal software tools used for processing data, workflow automation, benchmarking, and testing the SensorFusionAI engine.
  • Analyze 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 engineers, and field-service professionals 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 closely with relevant stakeholders to troubleshoot and resolve bug/issue reports.
  • Maintain a high standard of software quality through documentation, testing, and code reviews.
  • Collaborate with other engineers and become a valued member of an autonomous, cross-functional team.

You Will Be A Great Fit If You:

  • Have a strong foundation in software and data engineering, and you are confident in designing scalable systems that ingest, process, and transform large volumes of real-world sensor data.
  • Have hands-on experience building tools, pipelines, or frameworks that support AI/ML workflows.
  • Have worked across the entire data lifecycle — from raw ingestion and transformation to preparing clean, labeled datasets for model training and validation.
  • Have hands-on experience with CI/CD, containerization, and workflow orchestration tools, and enjoy automating complex processes for speed and reliability.
  • Take pride in delivering clean, well-documented, and tested code that integrates seamlessly with broader systems and is easy for others to maintain.
  • Are a self-driven learner, always seeking to improve and stay at the forefront of your field.
  • Are comfortable running your software in Linux environments.
  • Thrive in fast-paced, high-stakes settings and are motivated to help us scale globally.

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