Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : SAP SCM APO Advanced Planning & Optimization

Good to have skills : NA

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As an SAP PP/DS Production Planning Consultant, you will execute configuration, build and test work to an approved design, accountable for the quality of your own deliverables for Production Planning within the Manufacturing tower of the DRS SAP programme. The role exists to own production planning and detailed scheduling, where the plan must be feasible against actual capacity rather than balanced in theory.

Delivery quality is personal at this level. Performance is assessed on configuration that holds under integration test, on defect recurrence, and on documentation complete enough for another engineer to assume ownership. AI-assisted engineering is expected as standard practice, with every generated output validated before transport.

Roles & Responsibilities:

Scope & Decision Rights: Execute within an approved design. You determine how a configuration item is built, tested and documented design changes, scope calls and estimates are escalated to the workstream lead.

Planning Configuration: Configure PP/DS planning procedures, heuristics, planning strategies and the detailed scheduling board, and tune them to produce schedules the plant will follow.

Resource & Model Setup: Model resources, production data structures or production process models, setup matrices and campaign requirements to reflect how the plant actually runs.

Capacity & Sequencing: Configure capacity levelling, sequencing and setup optimisation, and resolve the conflicts between throughput, changeover cost and due date adherence.

Exception & Pegging Management: Set up alert monitoring, pegging and exception handling so that planners see material exceptions rather than undifferentiated alert volume.

Integration & Dependencies: Work with Planning Integration for the CIF data flow, with Plant Operations for execution feedback, with Inventory for stock and with Procurement for component supply.

Delivery Execution & Quality: Deliver assigned configuration, build and test items against sprint commitments, with configuration rationale, unit test evidence and cutover steps documented to handover standard.

Defect Diagnosis & Resolution: Investigate defects and incidents affecting plans that planners override manually, or scheduling runs that cannot complete inside the planning window, isolating root cause across configuration, master data and interface layers and confirming resolution through regression.

AI-Assisted Engineering & Joule: Apply AI assistants to analyse heuristic and resource configuration, generate planning test scenarios and summarise alert data, validating every generated output against system behaviour before transport. Use SAP Joule for Consultants for configuration guidance and troubleshooting, and flag manual steps in the module that are candidates for a Joule agent.

Knowledge Transfer: Document reusable configuration patterns, support analysts joining the workstream, and escalate blockers promptly.

Collaboration: Work with functional leads, test teams and downstream modules, reporting item status in terms of delivery impact.

Professional & Technical Skills:

Must-Have Skills

PP/DS Configuration: Hands-on configuration of PP/DS planning procedures, heuristics, strategies and the detailed scheduling board, in APO or embedded in S/4HANA.

Resource & PDS/PPM Modelling: Working expertise in resource modelling, PDS or PPM generation, setup matrices and campaign planning.

Capacity Planning: Working expertise in finite capacity planning, levelling and sequence optimisation.

Planning Data Integrity: Working knowledge of how master and transactional data quality determines whether the plan is usable.

Planner Partnership: Capability to work with production planners and tune the solution until it is adopted rather than overridden.

AI-Assisted Delivery: Evidenced use of AI coding and analysis assistants in live SAP delivery, demonstrable through the specific outputs produced and the validation applied.

SAP Joule for Consultants: Working use of SAP Joule for Consultants in configuration and troubleshooting, including verification of the guidance returned against actual system behaviour. Where prior Joule exposure is absent, working proficiency is expected within 90 days of joining.

Evidence of AI Adoption: Demonstrable adoption of AI in delivery work. This may be evidenced through use of AI coding or analysis assistants, or through equivalent contribution such as reusable accelerators, scripted automation of recurring delivery tasks, or codified patterns adopted by others.

Delivery Discipline: Record of meeting sprint commitments on an enterprise SAP programme, with defect and rework rates that withstood review.

Ownership & Communication: Capable of working an ambiguous defect to root cause independently and of stating clearly when a committed date is at risk.

Good to Have Skills

Embedded PP/DS in SAP S/4HANA and the migration path from APO

SAP IBP for response and supply

SAP Digital Manufacturing integration

Optimiser profile configuration and tuning

Additional Information:

A 15-year full-time education is required, as stated in the approved demand record.

Minimum 7.5 years of experience on the primary skill, as specified in the approved demand record.

Hands-on configuration and build experience across at least one full SAP implementation or major rollout.

Specific, evidenced examples of AI-assisted work in a production SAP delivery context.

Working proficiency in SAP Joule for Consultants, either held on appointment or achieved within 90 days of joining.