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Leading Process Engineer


At Bleckmann, we’ve been delivering on promises since 1862. As a market leader in supply chain management for fashion and lifestyle brands, we keep the show running behind the scenes — from moving boxes to moving data, from pack & ship to IT and HR. But we’re not just logistics experts. We’re The Backstage Crew — a tight-knit team of 6,500+ people who make fashion and lifestyle brands shine by doing the work that matters most, out of the spotlight but never out of impact. Whether you're on the warehouse floor or behind a screen, you’ll find: Strong connections with colleagues who support and celebrate you. From repairing returned goods to reducing waste, we help brands extend product lifecycles with sustainability in mind. At Bleckmann, we focus on Engineering and Innovation to drive excellence and efficiency in our logistics solutions, especially within the dynamic field of warehousing and supply chain management. Furthermore, intelligent order release and stable flow management are essential in manual , semi-automated , and fully automated warehouses. The Process Optimization Engineer ensures that waving strategies, optimizers, and digital decision-support tools are successfully rolled out, configured, validated, and continuously improved across all warehouse types. The role bridges operations , simulation , design engineering , and IT , ensuring that: automated and automated warehouses. level process analysis to prepare improvement cases: requirement gathering, gap analysis, documentation, and challenge/hand?over to Design Engineers or other specialists. Works closely with Design Engineers so that all process and system conditions required to realize the savings generated by optimizers are integrated during the solution design phase. Identifies and explores new optimization opportunities, using data, observations, and feedback from operations to propose innovative improvements or new optimizer logic. out of optimizers by validating flows and integrations with IT (WMS/WCS), participating in testing, and supporting performance stabilization after go?live. Documents processes, logic, best practices, and trains operational, design, and IT teams when relevant. Warehouse Process Understanding: Strong knowledge of manual and automated warehouse processes (picking, replenishment, sortation, AS/RS, conveyors), enabling accurate analysis and optimization of flows. Solid understanding of order release concepts (batching, sequencing, cut-offs, routing constraints) and how they translate into operational or system logic. Data Analysis Skills: Advanced proficiency in Excel and the ability to quickly process and interpret large operational datasets. Affinity with digital warehousing tools, dashboards, and parameter-based logic. Functional understanding of how WMS/WCS interact with waving logic, interfaces, data flows and operational execution. Professional Experience: 3 to 5 years of experience in warehousing, process engineering, operational analytics, or a related improvement-focused role. Experience with optimization logic, flow analysis or WMS functionality is beneficial. Educational Background: Bachelor or Master’s degree in Industrial Engineering, Logistics, Supply Chain, Operations Research, Applied Mathematics, or a related field. Exposure to working with Operations, IT and Engineering teams on process or system improvements. Personal Qualities & Soft Skills: Curious by nature, actively explores new optimization opportunities, tools, and technologies. Strong ownership of topics, while working closely with Design Engineers, IT teams, Simulation, and Operations. Able to work effectively with teams across countries, cultures, and warehouse setups. Language Proficiency: Excellent verbal and written communication skills in English and Dutch to ensure clear understanding and alignment across Operations, IT, and Engineering. Able to translate complex process or logic topics into clear messages adapted to different audiences (operators, engineers, IT, managers). Interest in New Technologies: Demonstrates strong interest in digital tools, optimization technologies, automation trends, and innovative warehouse solutions. outs, testing, and workshops. Demonstrates deep knowledge and credibility in AI, data, and transformation. Shares insights and builds confidence across teams.

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