Enza Zaden is a 1,938-founded seed genetics and breeding company operating across 11+ countries with 1,001–5,000 employees. The tech stack reveals a heavily data-integrated operation: Databricks, dbt, and Apache Spark power analytics; Dynamics 365 and Workday manage the supply chain and HR; Power BI surfaces insights across breeding trials and compliance. Active hiring skews research-heavy (27 roles), with operations (14) and sales (8) as secondary focus areas, matching their current project emphasis on breeding programs, trial planning, and seed availability optimization. Pain points cluster around EU regulatory compliance, trial reporting latency, and order-processing bottlenecks — typical friction points for a global agricultural inputs manufacturer scaling localized operations.
Notable leadership hires: Team Lead Processing
Enza Zaden develops and produces vegetable seed varieties for global distribution, serving farmers and agricultural businesses across multiple continents. Founded in 1938 in Enkhuizen, Netherlands, the company operates as a privately held family business. Core business lines include plant and vegetable breeding research, seed production, and global sales. The organization currently maintains active hiring across 11 countries (including Philippines, Thailand, Malaysia, Vietnam, Spain, Germany, and the United States), with research-led expansion suggesting continued investment in variety development and localized trial programs. Operations span breeding programs, local trial execution, seed inventory optimization, and compliance with evolving EU regulations.
Core platforms: Dynamics 365 (ERP and Finance), Azure cloud infrastructure, Databricks + dbt + Apache Spark (analytics), Power BI (reporting), Workday (HR), LIMS (lab management). Engineering stack: Python, C#, .NET, Terraform, Bicep.
Between 1,001 and 5,000 employees across global operations.
Other companies in the same industry, closest in size
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.