Satellite Payload Processing Engineer

• Defining EO product specifications in collaboration with customers, sales teams and mission engineers, ensuring products meet user needs and mission objectives
• Translating customer data requirements into clear technical processing specifications for EO missions and data products
• Contributing to payload definition and selection for next-generation EO missions, ensuring downstream data usability and performance
• Designing and developing image processing pipelines, from raw data ingestion through to delivery of calibrated, orthorectified and analysis-ready products
• Implementing and maintaining image processing algorithms, including band-to-band registration, georeferencing and orthorectification, radiometric and atmospheric correction, cloud detection and masking, classification and derived products
• Integrating processing workflows into scalable, automated data processing systems and orchestration platforms
• Acting as a technical interface between data processing, sales and system engineering teams, supporting feasibility assessments, proposals and effort estimation
• Continuously improving processing chains by evaluating new tools, algorithms and techniques to enhance quality, performance and efficiency
• Supporting multi-payload and multi-sensor operations, adapting pipelines for diverse satellite platforms and data sources
• Contributing to payload characterisation, calibration and validation (Cal/Val) activities to ensure data accuracy and product quality

Requirements

• Strong grounding in remote sensing principles and optical Earth Observation (EO) image processing
• Understanding of satellite payload processing concepts and algorithmic approaches
• Proficiency in Python and familiarity with geospatial processing libraries (e.g. GDAL, rasterio, numpy, Xarray)
• Knowledge of geospatial data structures, formats, coordinate systems and projections
• Understanding of data processing pipelines, automation concepts and workflow orchestration approaches
• Awareness of calibration and validation (Cal/Val) principles for EO data quality

Core Competencies

Demonstrates expertise in remote sensing principles and optical Earth Observation (EO) image processing, with a strong focus on developing and implementing image processing pipelines and algorithms. Proficient in Python and familiar with geospatial processing libraries, ensuring high-quality data products through effective calibration and validation practices.

Highest-signal resume keywords

• Remote Sensing Principles
• Optical Earth Observation Image Processing
• Python Programming
• Geospatial Processing Libraries
• Calibration and Validation (Cal/Val)

ATS Optimization Keywords

Hard Skills

• Image Processing Algorithms
• Data Processing Pipelines
• Georeferencing
• Orthorectification
• Cloud Detection
• Classification
• Automated Data Processing Systems
• Payload Characterisation
• Data Usability
• Performance Evaluation

Soft Skills

• Collaboration
• Technical Communication
• Problem Solving

Industry Keywords

• Earth Observation
• Satellite Payload Processing
• Geospatial Data Structures
• Coordinate Systems
• Data Quality

Tools & Technologies

• GDAL
• Rasterio
• Numpy
• Xarray
• Workflow Orchestration Platforms

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