Food and beverage manufacturer supplying Lidl and Kaufland across multiple product lines
Schwarz Produktion operates a diversified manufacturing footprint producing beverages, confectionery, baked goods, ice cream, pasta, and paper for two major German retailers. The SAP-heavy tech stack (FI, SuccessFactors, BW, Analytics Cloud, S/4HANA, R/3, PM, CO) reflects the operational complexity of managing multiple production facilities and supply chains. Current hiring velocity is accelerating across engineering, finance, and manufacturing, with active pain points centered on SAP process standardization, KPI reporting infrastructure, and production-line bottleneck identification—indicating mid-scale digital maturation challenges typical of legacy manufacturing operations scaling.
Schwarz Produktion is one of Germany's largest food manufacturers, employing approximately 6,500 people across production facilities in Weißenfels and other sites. The company manufactures beverages and PET packaging, chocolate, dried fruits, baked goods, ice cream, coffee, pasta, and paper products. Revenue flows primarily through two customers: Lidl and Kaufland. Operations span multiple business units (Schwarz Produktion Stiftung, MEG Weißenfels, Pro Projekte, Sindra Übach-Palenberg, Sindra Rheine), each handling distinct product categories or support functions. Founded in 1998 and structured as a partnership, the company emphasizes sustainability and quality as core operational pillars.
SAP ecosystem dominates: S/4HANA, FI/CO, SuccessFactors, BW, Analytics Cloud, PM, MM. Also: Oracle, Jira, Aconex, Siemens automation (Sinamics, S7), AutoCAD, Inventor, EPlan, MES systems.
Weißenfels, Sachsen-Anhalt, Germany. The company also hires in the United Kingdom and operates multiple production and administrative sites across Germany.
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Schwarz Produktion'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.