Logistics Process Engineer (Contract Logistics) (PE) at Datafin Recruitment

ENVIRONMENT:

• PLAY a pivotal role in designing and implementing operational efficiencies within the logistics framework of a PE-based global Logistics Operation seeking its next Logistics Process Engineer.
• You will provide crucial management support by analysing 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.
• The ideal candidate must possess a Master’s/Bachelor’s Degree in Logistics/Industrial Engineering/Supply Chain Management or related field with Certifications like Lean Six Sigma (Green/Black Belt).
• You will also need 3-7+ years in Warehouse Operations, Logistics Engineering, or Supply Chain optimization & proficiency in Advanced Excel (Pivot tables, Power Query), SQL, Python, or Power BI/Tableau, Simulation, modeling & layout tools like AnyLogic, AutoMod or AutoCAD.

DUTIES:

• Apply Logistics Engineering techniques to address issues such as operational process improvement or facility design and layout.
• Support with new client implementations throughout the network.
• Evaluate effectiveness of current logistics processes and help design processes that streamline the operation and lead to efficiencies and cost savings in the facilities.
• Evaluate 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.
• Provide logistics technology or information for effective and efficient support of client operation.
• Evaluate the use of warehousing software or other IT systems and tools to maximize facility efficiencies.
• Support developing logistics metrics, analysis tools, or key performance indicators to measure business performance.
• Analyse logistics data involving customer service, forecasting, procurement, transportation, or warehousing.
• Prepare documentation on logistics data reporting and management information systems.
• Conduct logistics studies or analyses, such as time studies, rate analyses, or flow-path analyses.
• Perform additional duties as assigned.

REQUIREMENTS:

Qualifications –

• Master’s or Bachelor’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.

Experience/Skills –

• 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.
• 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.

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.

Advantageous –

• Experience in implementing automation solutions or digitizing warehouse processes.
• Familiarity with WMS, TMS, and ERP platforms.

ATTRIBUTES:

• 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.