обновлено 19 дней назад
Satellite Payload Processing Engineer (Earth Observation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Satellite Payload Processing Engineer (Earth Observation): Designing and developing image processing pipelines that transform raw satellite data into calibrated, orthorectified, and analysis-ready Earth Observation products with an accent on remote sensing, geospatial processing, and scalable workflow integration. Focus on implementing image processing algorithms, supporting multi-payload operations, and performing payload calibration and validation to ensure data accuracy and product quality.
Location: Hybrid, based in Harwell, UK; Athens, Greece; Barcelona, Spain; Buenos Aires, Argentina; or Porto, Portugal. Legal right to work in the chosen location is required.
Company
develops end-to-end satellite missions and space-based data and connectivity solutions, including Earth observation, IoT connectivity, and secure communications.
What you will do
- Define Earth Observation product specifications with customers, sales teams, and mission engineers.
- Translate customer data requirements into technical processing specifications for missions and data products.
- Design and develop image processing pipelines from raw data ingestion to calibrated, orthorectified, and analysis-ready products.
- Implement algorithms for registration, georeferencing, orthorectification, radiometric and atmospheric correction, cloud masking, classification, and derived products.
- Integrate workflows into scalable automated processing and orchestration systems for multi-payload and multi-sensor operations.
- Support payload definition, characterisation, calibration, validation, feasibility assessments, proposals, and continuous processing-chain improvements.
Requirements
- Strong knowledge of remote sensing and optical Earth Observation image processing.
- Understanding of satellite payload processing concepts and algorithmic approaches.
- Proficiency in Python and familiarity with GDAL, rasterio, numpy, or Xarray.
- Knowledge of geospatial data structures, formats, coordinate systems, and projections.
- Understanding of data processing pipelines, automation, and workflow orchestration.
- Awareness of calibration and validation principles for Earth Observation data quality.
Culture & Benefits
- Work on space technology and satellite data products used by customers around the globe.
- Contribute to a mission-driven approach focused on making space more accessible and solving real-world challenges.
- Join a diverse, ambitious, supportive, and inclusive workplace.
- Hybrid work across the listed locations.
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