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Satellite Data Processing Engineer

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Satellite Data Processing Engineer in Others

  • Berlin, Germany

Responsibilities

  • Assess satellite imagery manually and through automated tooling against contractual and technical quality standards.
  • Build and maintain internal quality-assessment tools, backend scripts, and data pipelines.
  • Support investigations into customer-reported imagery quality disputes and gather technical evidence.
  • Contribute to automated quality-assessment systems that replace routine manual review.
  • Write clear technical reports and actionable tickets for engineering teams.

Requirements

  • At least 2 years of relevant experience.
  • Bachelor’s degree in geoinformatics, geomatics, remote sensing, or a closely related field.
  • Working understanding of optical remote sensing fundamentals.
  • Solid Python skills, including version control, code review, and production-quality scripting.
  • Exposure to QGIS or Python geospatial libraries such as GDAL, rasterio, and shapely.
  • Basic SQL and database familiarity.
  • Clear written communication skills for explaining technical findings to non-specialists.
  • Preferred qualifications include Linux experience, GitLab CI or similar CI/CD pipeline experience, and exposure to PySide6/Qt or end-to-end internal tool development.

Benefits

  • Full-time hybrid work requiring 3 days per week in the Berlin office.
  • Paid time off including vacation, holidays, and company-wide days off.
  • Employee Wellness Program.
  • Home Office Reimbursement.
  • Monthly phone and internet reimbursement.
  • Tuition reimbursement and access to LinkedIn Learning.
  • Equity and discretionary bonus eligibility.
  • Volunteering Paid Time Off.

Planet

Planet is a forward‑thinking technology partner that empowers businesses to harness data-driven insights for sustainable growth. By blending advanced analytics with intuitive design, we help organizations transform complex information into actionable strategies. Our collaborative approach ensures...

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