Vegetable breeding and seed production company with a global trial network
Enza Zaden is a Dutch family-owned vegetable breeder and seed producer running an Azure-centric data stack (Databricks, dbt, Spark, Power BI) alongside LIMS and Dynamics 365 Finance and Operations. PyTorch, SciPy and Azure Machine Learning point to data science applied to breeding. Hiring leans toward operations and research across Latin America, Southeast Asia and Europe, while ESG data gaps and CSRD reporting work signal a growing compliance burden.
Notable leadership hires: Seed Production Lead, Head of Breeding
Enza Zaden develops new vegetable varieties and produces and sells vegetable seeds worldwide. Founded in 1938 and headquartered in Enkhuizen, Noord-Holland, it is a privately held family company with 1,001–5,000 employees. Its operations span breeding programs, research and commercial variety trials, and seed production, supported by hiring in Argentina, Chile, the Philippines, Malaysia, Thailand, Spain, Germany, France, the Netherlands and the United States. It sells to business partners across international vegetable markets.
Enza Zaden runs on Azure with Databricks, dbt, Apache Spark and Power BI for data, Microsoft Dynamics 365 Finance and Operations for ERP, Workday and ADP for HR, plus LIMS, Python, PyTorch and Azure Machine Learning.
Enza Zaden is headquartered in Enkhuizen, Noord-Holland, Netherlands. The privately held company was founded in 1938 and employs 1,001–5,000 people.
Enza Zaden hires in Argentina, Chile, the Philippines, Malaysia, Thailand, Spain, Germany, France, the Netherlands and the United States, with operations and research as the leading functions.
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Enza Zaden's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.