Process Engineering Specialist

Revolutionising e-commerce logistics in South Africa with cutting-edge technology and operational excellence. We deliver 30+ million orders annually, empowering businesses and driving economic growth.

Innovative, ambitious individuals ready to shape the future of e-commerce logistics. At TFS, "Uniquely You" meets "Powerfully Us", where your individuality strengthens our collective mission.

• Cross- functional Engagement: Engage with stakeholders across operations teams (including warehouse/inbound, catalogue, customer service,seller onboarding, and other operational functions as scoped with the project lead) to understand and document current-state processes end-to-end.
• Operational Walkthroughs: Conduct interviews, process walkthroughs, and on-floor observations to capture how work is actually performed, not just how it is intended to be performed.
• Standardised Notation: Map processes using standardized notations (BPMN, swimlane diagrams, decision-tree formats) to create a shared, visual understanding of how work flows across functions.
• Dependency Mapping: Identify process owners, inputs, outputs, and interdependencies between functions.
• End-to-End Visibility: Build process visibility to give stakeholders a clear, shared picture of how work moves through the operation, where bottlenecks sit, and where data, handoffs, or decisions create friction.
• Gap Identification: Uncover gaps, ambiguities, undocumented workarounds, and hidden process steps in current operations.

• Inefficiency Analysis: Analyse mapped processes to identify inefficiencies — unnecessary steps, manual workarounds, duplicate processes across teams, bottlenecks, rework loops, and underutilised automation.
• Business Case Quantification: Quantify the business impact of identified opportunities (time saved, cost reduction, error reduction, throughput improvement, or capacity unlock) and build lightweight business cases for each.
• Prioritised Implementation: Recommend and help implement process improvements, working with process owners and the project lead to prioritise by impact and effort.
• Automation & AI Readiness: Identify opportunities for automation and AI-enablement where structured process data and standardised workflows create a foundation for technology-led improvement.
• Benefit Tracking: Track and measure the realised benefit of implemented improvements against the baseline, closing the loop between recommendation and outcome.

• Produce clear, structured Standard Operating Procedure (SOP) documents for each identified process area — capturing both the current state and, where improvements have been implemented, the optimised future state. Each SOP must capture:
• Data Sources: Databases, reporting dashboards, internal tools, and third-party platforms referenced or relied upon, including purpose and access methods.
• Existing Scripts & Automation: Capture details of existing SQL queries, Python/Shell scripts, scheduled jobs, API calls, or other automated routines executed as part of the process (including purpose, frequency, owner, and trigger locations).
• Inputs & Outputs: Specific requirements for each process step, including required approvals or sign-offs.
• Exception Handling: Procedures for resolving operational issues, escalation contacts, and decision criteria.
• Security & Compliance: Data access permissions, information-handling requirements, and compliance considerations.
• Visual Workflows: Flowcharts and process diagrams that complement rather than duplicate written procedures, maintaining clear BPMN/swimlane consistency.
• SOP Governance: Establish a sustainable review and update cadence so SOPs remain current as processes evolve.

• Rollout Planning: Plan and support the rollout of process changes with affected teams — ensuring stakeholders understand what is changing, why, and what it means for day-to-day work.
• Proactive Resistance Management: Identify potential resistance points and work with process owners to address them proactively.
• Training Aids: Develop or support the development of training materials, quick-reference guides, and onboarding aids that help teams adopt improved processes.
• Reinforcement & Governance: Ensure process changes are reinforced through updated documentation, system configurations, and governance checkpoints so improvements stick.
• Post-Implementation Review: Run post-implementation reviews to assess adoption, identify residual issues, and capture lessons learned.

• Validation & Sign-Off: Review draft SOPs and proposed improvements with process owners and stakeholders for accuracy, completeness, and buy-in.
• Version Control: Incorporate feedback and manage version control of all documentation.
• Technical Translation: Act as the technical interface between business needs and engineering/data teams, translating operational reality into documentation and improvement recommendations that support automation initiatives.
• Multi-Stakeholder Alignment: Manage multiple stakeholder relationships simultaneously across functions with differing priorities and operating rhythms.

• Bachelor’s degree in Industrial Engineering or a related discipline (Operations Management, Supply Chain Management, Business/Systems Engineering, or Process Engineering).
• +3 years experience in process engineering, process improvement, industrial engineering, operations, or a related field. Internships, vacation work, and university projects involving process mapping or improvement
  are valued.

• Process Mapping Tools: Proficiency in at least one of: Microsoft Visio, Lucidchart, draw.io, or similar.
• Process Notation Frameworks: Knowledge of BPMN, swimlane diagrams, or other standard process notation frameworks.
• Data Literacy: Familiarity with basic SQL and data querying concepts; ability to read and interpret query logic and pull data to support process analysis.
• Basic Scripting Awareness: Ability to recognise, understand at a high level, and document existing scripts, queries, or automated routines (e.g., SQL queries, Python/Shell scripts, scheduled jobs, API calls) used in day-to-day operations.
• AI / Automation Awareness: Basic understanding of how AI tools and automation platforms consume structured process data; awareness of how documented SOPs and mapped processes enable AI integration.
• Business Case Development: Ability to quantify process improvement impact in business terms (time, cost, throughput, error rate) and present lightweight justifications for action.

• Understanding of change management principles - how to introduce process changes in a live operational environment without disrupting delivery.
• Ability to develop or support training materials, quick- reference guides, and onboarding aids.
• Stakeholder engagement skills to build buy-in and address resistance to change.

• Excellent communication skills to interface effectively with business stakeholders, engineering, and data teams.
• Strong documentation habits and a commitment to knowledge sharing across the team.
• Collaborative by nature, with the ability to manage multiple stakeholder relationships simultaneously.

• Self-driven with a strong bias for action and end-to-end ownership of deliverables.
• Comfortable working in a fast-paced, iterative environment with evolving priorities.
• Results-oriented, with a focus on delivering measurable business impact rather than just technical output.

• Exposure to Lean, Six Sigma, or other continuous improvement methodologies.
• Experience in an e-commerce, retail, or logistics operations environment.
• Familiarity with process documentation tools that support AI-enabled workflows (e.g., tools that export structured data for automation pipelines).
• Experience supporting or leading process change in a live operational environment.