
Field of Work: Data Management
Berlin, BE, DE
Legal Entity: KWS Berlin GmbH
Contract Type: Regular
Is Full Time?: Yes
Onsite/ Remote: Hybrid Working Within Country
Job ID: 16614
KWS Berlin GmbH is looking for a Material & Production Master Data Expert (m/w/d) who will support standardized, high-quality master data management across KWS Global Business Operations (GBO). You act as a key interface between business and IT, contribute to digital transformation initiatives such as the S/4HANA migration, and continuously improve processes, systems, and reporting to enable transparency, efficiency, and data-driven decisions.
This is a full-time position initially limited to 2 years and based in Berlin or Einbeck..
Your Responsibilities:
Your Profile:
Your Benefits:
Grow your career by submitting your application online via our online application system SuccessFactors! Please click the “Apply” button which you can find in the online ad.
About KWS
KWS is one of the world’s leading plant breeding companies and employs around 5,000 employees in more than 70 countries. With the tradition of family ownership, KWS has operated independently for more than 170 years. It focuses on plant breeding and the production and sale of seeds for sugarbeet, corn, cereals, vegetables, oilseed rape and sunflowers. KWS uses leading-edge plant breeding methods and invests a significant amount in research and development.
At KWS, diversity is not just a value; it is an essential part of our success. Breeding resilient crops requires diversity; likewise, our strength comes from the diversity of our teams. Whatever your background or identity is, we invite you to join us.
Further information: https://www.kws.com/corp/en/careers/. Follow us on LinkedIn® at https://linkedin.com/company/kwsgroup/.
Our data privacy policy for candidates is available on www.kws.com/dataprotection. Please select the country where the job you applied for is posted in and, if applicable, the specific business unit.
Job Segment: Industrial, SAP, Supply Chain, Data Analyst, Bilingual, Manufacturing, Technology, Operations, Data
