Strategic Scheduling & Optimisation Specialist

Ddgroup; Stirling; On-site; GBP 32,000 - 42,000; Full time

Benefits offered by this job

Discretionary bonus

Discount portal for gym membership and

Cycle2Work scheme

Enhanced holiday entitlement

Company pension

Dental plan

Eye care vouchers

Mental health support

Job summary

Ddgroup seeks a Scheduling Planning & Optimisation Coordinator to join our Field Service Operations team in Stirling. You’ll work with system-led scheduling and operational data to optimise field engineering capacity across Reactive, PPM and Install work, validate recommendations and tackle exceptions.

You’ll improve scheduling rules and data quality, balance priorities such as geography, skills and availability, and support continuous data-driven optimisation of our scheduling framework.

Qualifications

• Experience in scheduling, workforce planning or resource planning within field-service operations.
• Proven ability to balance priorities like geography, skills and availability.

Responsibilities

• Monitor system-assisted schedules and ensure bookings reflect priorities, skills, territories, availability and capacity.
• Resolve allocation failures and capacity constraints with controlled overrides as needed.
• Plan ahead at demand and engineer capacity to anticipate issues.
• Protect PPM planning windows and support compliance requirements.
• Use operational data to identify workload imbalances and reduce unnecessary rescheduling.
• Help improve scheduling rules, data and optimisation logic over time.

Skills

Scheduling

Workforce planning

Resource planning

Field-service operations

D365 Field Service

Tools

Schedule Assistant

Job description

Ddgroup seeks a Scheduling Planning & Optimisation Coordinator to join our Field Service Operations team in Stirling. You’ll work with system-led scheduling and operational data to optimise field engineering capacity across Reactive, PPM and Install work, validate recommendations and tackle exceptions.

You’ll improve scheduling rules and data quality, balance priorities such as geography, skills and availability, and support continuous data-driven optimisation of our scheduling framework.