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Salary
$19k – $42k per year (Estimated)
Location
In office
Seniority
Senior · 7+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Job Mail is a South African online job board offering a large selection of vacancies across the country and some positions abroad. Job seekers can search and apply for jobs online, upload a CV and receive job alerts, while employers and recruitment agencies can advertise positions to a broad national audience. The brand is one of the longer-established names in South African job advertising and is operated from South Africa.

Purpose of Position:

As the Logistics Process Engineer, you play a pivotal role in designing and implementing operational efficiencies within the logistics framework. You provide crucial management support by analyzing existing processes and identifying areas for improvement. This role also involves leading improvement projects, applying your deep logistics expertise to streamline workflows, optimize building designs and enhance overall supply chain performance.

Requirements:

  • Education & Certifications

  • Bachelor’s or Master’s degree in Logistics, Industrial Engineering, Supply Chain Management, Operations Research or a related field

  • Certifications like:

    • Lean Six Sigma (Green/Black Belt) - for process improvement.

  • Technical Skills

  • Warehouse Process Optimization: Experience with slotting, picking, put-away, and replenishment strategies.

  • Data Analytics & Process Improvement:

    • Advanced Excel (Pivot tables, Power Query)

    • SQL, Python, or Power BI/Tableau for data-driven decision-making.

    • Simulation, modeling & layout tools like AnyLogic, AutoMod or AutoCad.

  • ERP & Logistics Software:

    • Familiarity with WMS, TMS, and ERP platforms is an advantage.

  • Automation & Robotics Integration:

    • Knowledge of conveyor systems, AGVs, AMRs, and robotic picking solutions.

    • Experience working with IoT, RFID, and AI-based warehouse solutions.

  • Lean & Continuous Improvement:

    • Application of Kaizen, Value Stream Mapping (VSM), and Kanban.

    • Reducing waste (Muda), variability, and inefficiencies in warehouse processes.

  • Soft Skills

  • Strong analytical and problem-solving skills for diagnosing inefficiencies.

  • Ability to work cross-functionally with warehouse managers, IT, and operations teams.

  • Excellent communication to align stakeholders and drive change management.

  • Experience Requirements

  • 3-7+ years in warehouse operations, logistics engineering, or supply chain optimization.

  • Proven experience in warehouse process reengineering, KPI improvement (e.g., dock-to-stock time, pick rate, fill rate), and cost reduction initiatives.

  • Experience in implementing automation solutions or digitizing warehouse processes is a plus

Job Responsibilities:

  • Applying logistics engineering techniques to address issues such as operational process improvement or facility design and layout.

  • Supporting with new client implementations throughout the network.

  • Evaluating of effectiveness of current logistics processes and help designing processes that streamline the operation and lead to efficiencies and cost savings in the facilities.

  • Evaluating of process flow and layout of operations; designing and implementing facility layouts and processes that lead to increase in productivity, quality, and cost savings for the operation.

  • Providing logistics technology or information for effective and efficient support of client operation.

  • Evaluating the use of warehousing software or other IT systems and tools to maximize facility efficiencies.

  • Supporting developing logistics metrics, analysis tools, or key performance indicators to measure business performance.

  • Analyzing logistics data involving customer service, forecasting, procurement, transportation, or warehousing.

  • Preparing documentation on logistics data reporting and management information systems

  • Conducting logistics studies or analyses, such as time studies, rate analyses, or flow-path analyses

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