Data Engineer SIG – Remote-Sensing

DNEXT is a market data intelligence platform for the commodity players. Our software aggregates data from hundreds of sources including imports, exports, weather, crop production, prices, etc. By connecting the dots across fragmented information landscapes, we bring our clients - mostly trading houses, hedge funds, food producers - unique, real-time understanding of supply and demand in the commodity markets.

 We are looking for a Data Engineer SIG – remote-sensing for Agriculture to design added-value analytics based on remote-sensing data, namely high to low-resolution optical satellite imagery and weather.

Responsibilities

You will set up cutting-edge solutions for innovative projects needing strong skills in data analysis and machine learning, in the context of a large volume of data: satellite images, SIG. Handling the development of POCs and pilots, you will define / test / validate and specify appropriate algorithms in the area of crop modeling.

Qualifications

•  Master’s degree or PhD in remote sensing or related area
• Young doctor or at least 2 years of professional experience, with at least one experience in agriculture-related projects or involving deep-learning technology
• Expertise in signal and image processing, experience with SAR imagery is a plus
• Highly proficient in Python, knowledge in GIS (QGIS, GDAL/OGR)
• Knowledge of machine learning and deep learning libraries (Scikit-learn, Pytorch, Tensorflow…)
• Expertise of version control system: GIT
• Ability for teamwork, and capacity to handle short timelines
• Fluent in English (oral and written): meetings with clients and internal are mostly in English.
• You are curious and creative, collaborative and adaptable?