Dairy nutrition manufacturer scaling production and compliance infrastructure
Synlait operates a vertically integrated dairy processing business anchored in SAP ERP and specialized pharma-grade analytics (HPLC, LC-MS/MS, ICP-MS). The hiring velocity—16 roles across manufacturing, quality, and engineering in the last 30 days—reflects active capacity expansion and capital projects underway. The project mix (dryer efficiency, process reliability, SAMR re-registration readiness, line efficiency gains) and pain-point clustering around validation and compliance signal a business managing both volume growth and tightening regulatory requirements, particularly around 2027 compliance deadlines.
Synlait is a publicly traded New Zealand dairy processor founded in 2000, headquartered in Dunsandel, Canterbury. The company produces infant formula, advanced nutrition products, and foodservice dairy across a vertically integrated supply chain combining farming with processing. Operations span 1,001–5,000 employees and are built on SAP S/4HANA (including logistics and warehouse management modules), process automation (Siemens PLC, Allen-Bradley, Ignition), and quality assurance infrastructure (LIMS, analytical chemistry tools). The business operates globally and maintains B Corp certification.
Synlait runs SAP S/4HANA with Transportation Management, Sales & Distribution, and Warehouse modules. Production uses Siemens PLC and Allen-Bradley controls with Ignition SCADA. Quality relies on LIMS, HPLC, LC-MS/MS, and ICP-MS. Analytics via Power BI and Power Platform; development in Python, .NET, C#.
Key focus areas include dryer and line efficiency gains, process reliability and compliance improvements, capital projects and site upgrades, new product development, and SAMR re-registration readiness ahead of 2027 regulatory deadlines.
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Synlait Milk Limited'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 →
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