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.
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.