About this role
BE AN ESSENTIAL PART OF EVERYDAY LIFE
DHL Supply Chain is the world’s leading contract logistics provider that combines value-added and management services with fulfilment and distribution. At DHL Supply Chain we are committed to looking after tomorrow & today with our Environment, Social, and Governance (ESG) strategy.
So, what's it like to work for DHL Supply Chain? At DHL we’re proud of our international reach as it brings together people with a wide range of skills, experiences, cultures, and viewpoints. We see the diversity of our employees as a genuine strength and we’re proud of our supportive work environment where employees are given the tools and training, they need to learn, grow and succeed.
We are offering an exciting opportunity for the position of Graduate: Industrial Engineering. In this position you will play a crucial role to support our vision of becoming a Great place to work for all.
Role Outline
Apply industrial and systems engineering principles to analyse, design, test and improve warehouse and supply-chain operations. Deliver scoped continuous-improvement initiatives that balance productivity, cost, capacity, service, safety, ergonomics, sustainability and operational risk. Develop data-driven resource, capacity, layout, process-flow and scenario models, and validate proposed changes through structured trials and post-implementation measurement. Support standardisation and transfer of preferred methods and proven practices across Consumer and Retail sites. Develop towards subject-matter expertise under the guidance of experienced engineering, operational and functional stakeholders.
Key Accountabilities
- Frame operational problems using structured methods such as DMAIC, A3, root-cause analysis and value-stream mapping.
- Define baselines, assumptions, constraints, hypotheses and measurable targets.
- Develop and compare current-state and future-state options.
- Plan and conduct observations, work sampling, time studies, trials and pilots.
- Assess data reliability and record material limitations.
- Compare planned and actual results after implementation and complete benefits validation.
- Support warehouse layout, material-flow, storage-medium and dock analysis.
- Build labour, MHE, storage, throughput and shift-capacity models.
- Analyse travel, congestion, queueing, utilisation and operational constraints.
- Support slotting, picking-method and replenishment-method evaluations.
- Translate operational requirements into process and system logic for WMS, labour-management, reporting and automation solutions.
- Support data validation, user acceptance testing and benefits tracking for system changes.
- Maintain controlled analytical models with traceable inputs and version control.
- Assess manual handling, reach, posture, fatigue, repetition and workplace design.
- Include safety, quality and ergonomic controls in recommendations.
- Quantify relevant effects on energy, waste, packaging, travel distance and equipment utilisation.
- Plan assigned workstreams, engage site teams and support change implementation.
- Develop SOPs, work instructions, visual standards, case studies and training material.
- Share validated preferred methods across the operations excellence community.
- Communicate findings clearly to operations, management and customers.
- Apply professional judgement, data confidentiality, governance and ethical practice.
- Escalate unresolved safety, legal, quality or operational risks.
Qualifications & Experience
- BEng or BScEng in Industrial Engineering, preferably an ECSA-accredited NQF Level 8 qualification or recognised equivalent.
- Graduate-level exposure to engineering problem-solving, work study, statistics, operations research, engineering economics, design and project management.
- Advanced Microsoft Excel capability; Power Query and Power BI exposure desirable. SQL, Python or simulation software exposure is advantageous.
Languages
- English – verbal and written