Python Data Engineer

Our client is building an operations management platform that handles workforce planning, rostering, dispatching, and performance analytics for a large-scale field operations environment. You will own the Python engine layer, responsible for the algorithms and data processing that power the core operational workflows used daily by operations teams.

This is not a typical web backend role. You will be working on constraint-based planning algorithms, large-scale data processing pipelines, and event-driven dispatch engines that operate in real time against live operational data.

WHAT YOU'LL OWN:

• Planning engine: processing large volumes of operational schedule data through constraint evaluation, business rules, and engagement profiles to produce workforce planning demands. Built on Celery, Polars, and OR-Tools running on Azure App Service
• Rostering engine: generating periodic staff rosters by solving constraint problems against planning demands, employee certifications, and leave data pulled from third-party HR systems. Running as an Azure Function App
• Dispatch engine: real-time task assignment using proximity scoring against live employee location data, attendance records, and operational schedule data. Running as an always-on Azure Function App or App service.
• Performance engine: scheduled KPI aggregation and SLA scoring across all module