Yara has an ambitious strategic agenda to be the crop nutrition company for the future, and is taking lead in the development towards sustainable agriculture and digital tools, to contribute to solving the challenges which the agricultural industry is facing globally. We have a worldwide presence with sales to ~150 countries and around 17 000 employees. The newly established function, Yara Farming Solutions, will lead the transformation towards more sustainable and efficient food production, by innovating our offering and the way we work.
The unit is responsible for R&D and agronomic competence within the company. Its objective is to develop and to strengthen Yara’s knowledge regarding Crops, Agronomy, and sustainable Agriculture. It also leads the agronomic input and requirements regarding the development of new and innovative Products, Services and Tools.
Yara is driven by a strong scientific and innovative spirit in its products and solutions. We place high importance on cutting-edge research focussing on developing solution paradigms suitable for future farming. This role is based within the Agronomic Analytics and Modelling group of Yara Agronomy R&D unit. The role shall focus on developing, testing and maintaining architectures for improved management of R&D.
We are looking for a motivated and experienced data engineer to join our team. The role involves R&D data management and building a future-proof data architecture . Further, the role is also expected to host updated knowledge on the technology landscape within Yara with respect to global data management and guide the Agronomic Analytics and Modelling team on efficient use of existing platforms and pipelines.
As a global organization we actively strive to reflect the diversity in society. We therefore encourage qualified applicants from all backgrounds to apply. We are committed to creating a work environment that fits gender equality and allows combining career progress with the needs of a family or other personal circumstances.
6th April 2021
Job Segment: Agricultural, Agronomy, Database, Sustainable Agriculture, Engineer, Agriculture, Technology, Engineering