Data Engineer Agriculture

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Organisation: VITO Remote Sensing

Job description

As a part of VITO, an independent research and technology leader, the Remote Sensing unit offers expertise, knowledge, data, services and solutions in Earth observation. VITO Remote Sensing is offering the added value of remote sensing, a key enabler in our space economy. From user needs to the relevant technology and end-to-end EO support, from drones over aeroplane to satellite data, we provide insights for diverse applications in domains such as agriculture, vegetation, water & coast, climate, security and infrastructure.

To support its growth, VITO Remote Sensing is strengthening its team with a customer facing data engineer who has an interest in image analytics, big data analysis, machine learning and deep learning techniques in the context of agricultural applications. You will be working in a dynamic environment, balancing between R&D, prototyping and operational environments, translating customer needs into services. You have a strong engineering but pragmatic, service oriented mindset, are tech-savvy and are able to connect well with people with different backgrounds.

Job requirements
  • You're holding a Master’s degree or equivalent in (computer) science, (bio-)engineering, … .
  • Proven expertise in one or more of the following domains is definitely an asset, but most of all we strongly value the willingness to learn:
    • Image processing, Data Science, drones, machine and/or deep learning techniques
    • Remote Sensing systems for agriculture applications
    • Environmental/Spatial Modelling techniques
    • Satellite and drone based EO datasets of various sensors
    • Programming expertise in higher languages like Python/R/ JAVA… and scripts to automate EO/GIS processes.
  • Having hands on experience in the agricultural domain would be considered an asset.
  • You have an open mind, have a natural interest in state-of-the-art technology and strive to find an efficient solution for challenges that you encounter.
  • You work easily in a team and are equally capable of working independently.
  • Given the international nature of this position, a good knowledge of English is essential.