Data engineer (english speaking)

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Agriculture is all about balance. In our division Agricultural Solutions, we connect innovative thinking with practical action to find the right balance for success - for farmers, agriculture and future generations. With seeds and traits, crop protection and digital solutions, we help farmers produce food more efficiently, protect the land and meet the needs of society.

During your internship opportunity with a duration of 3-6 months, you will become acquainted with several tasks within our Crop Protection unit, giving you the chance to apply your theoretical knowledge in the daily business and gain hands-on experience. BASF xarvio Digital Farming is one of the world's leading groups in delivering digital agricultural solutions.Outstanding students may be offered the opportunity to extend their collaboration as a working student.

1. bachelor's or master's student in the field of plant science or alternatively IT along with the willingness to acquire agronomic knowledge
2. experience in weed management is desirable
3. competent handling of standard IT applications, programming knowledge is a plus
4. strong communicational skills in English



BENEFITS

5. Flexible working hours for a greater work-life balance.
You will assume immediate responsibility in a practical, real-world setting, with on-the-job training in a supportive team.You will be part of an international team across three counties including data scientists, drone flight coordinators, and technicians.

xarvio Digital Farming Solutions powered by BASF is at the forefront of the digital transformation of agriculture optimizing crop production. xarvio offers digital products, based on a global leading crop model platform, which deliver independent field-zone-specific agronomic advice enabling farmers to produce their crops most efficiently and sustainable. Working at BASF Digital Farming GmbH is equally as innovative as our products: we have a global network and work with agile methodologies in a start-up atmosphere. section data-section-name="other" markdown="1">