Flatgigs
Information Technology and Services
PythonDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Python Data Engineer at Flatgigs. Skills: Python, Data Processing, Constraint Solving, Azure. Own Python engine layer. Develop algorithms and data processing”
What You'll Achieve.
Produce workforce planning demands; Solve constraint problems; Assign tasks based on proximity; Improve operational team performance
Industry & Context.
constraint evaluation; business rules; engagement profiles; constraint problems; proximity scoring
What They're Looking For.
Must Have
5 or more years of Python backend or data engineering experience, Experience with constraint solving, optimization, or scheduling algorithms (OR-Tools, PuLP, or equivalent), data processing experience with large datasets (Polars, pandas, or Apache Spark), Experience with task queues and async processing (Celery, RQ, or equivalent), Familiarity with Azure, Comfortable working with SQL databases and writing performant queries, Experience consuming REST APIs and message queues
Nice to Have
Experience with large-scale workforce management or scheduling systems, Familiarity with SLA-based operational frameworks, Experience working in fast-paced, operationally critical environments, Experience with Azure Functions or equivalent serverless compute, Experience with OR-Tools specifically, Knowledge of scikit-learn or ML model integration (ONNX, Azure ML) for a future ML upgrade path, Experience with Pydantic for data validation and schema enforcement
What You'll Do.
Own Python engine layer
Develop algorithms and data processing
Power core operational workflows
Process large operational schedule data
Generate periodic staff rosters
Assign tasks in real-time
Aggregate KPIs and score SLAs
Full Job Description
We are 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. ### Responsibilities **What you will 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 modules. Running as a timer-triggered Azure Function App **What you will work with** * Python 3.11 * Celery with Redis as broker for long-running jobs * Polars for large-scale data processing * OR-Tools for constraint solving and optimisation * Azure Functions for event-driven and scheduled workloads * Azure SQL via SQLAlchemy for output persistence * Azure Blob Storage for intermediate file handling * Azure Service Bus for async message queuing between modules * Third-party HR and workforce management API integrations * Real-time location data streams for proximity-based task assignment **What you do not need to
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