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Job Opening

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Working Student, SpaceOps

Planet Labs · Berlin, State of Berlin · Posted 8 days ago

hybridic
PythonLinuxBashGitGitLabDockerJenkinsCI/CD

Keep the world's largest Earth Observation satellite constellation healthy by automating operations, analyzing fleet data, and commissioning new satellites in orbit.

The Space Operations team is crucial to Planet's success, responsible for maintaining and optimizing the health and productivity of the world's largest Earth Observation satellite constellation. Our team spans North America and Berlin. Given the scale of our fleet, automation is at the heart of our operations. You'll develop and maintain critical software, transforming large datasets into actionable metrics.

As a Working Student, you'll support daily satellite operations, analyze data, triage and resolve anomalies, run on-orbit experiments, test and deploy software both on the ground and in orbit, and commission satellites. You'll work closely with hardware and software experts across teams to debug anomalies, enhance or create services, and provide operational insights to shape our next-generation satellites.

We are looking for a data-driven self-starter with effective communication skills that collaborates well within a technical team and adapts quickly to changing tasks and contexts.

This part-time, hybrid role is based at our Berlin office which will require you to work from our Berlin office 3 days per week.

  • Develop and maintain real-time, mission-critical software solutions for satellite operations
  • Write scripts to aggregate satellite data and generate system monitoring metrics
  • Analyze data to identify issues and inefficiencies in the full stack of services and propose solutions to improve productivity
  • Drive improvements to fleet capacity and productivity through process enhancements
  • Monitor satellite health and perform on-orbit experiments
  • Ongoing BSc in engineering or computer science
  • Proficiency in software development, particularly in Python or equivalent languages
  • Data-driven mindset with experience in statistical analysis
  • Proactive, self-starter approach to engineering and problem-solving
  • Effective interpersonal and collaboration skills within a technical team

What Makes You Stand Out:

…

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