Data Engineer, Python

Flatgigs

Python Data Engineer responsible for core algorithms and data processing in a workforce management platform. Developing planning, rostering, and dispatch engines using Python and Azure technologies.

Posted 5/24/2026full-timeRemote • 🇱🇰 Sri LankaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ApacheAzurePandasPythonScikit-LearnSparkSQL

About the role

Key responsibilities & impact

Own the Python engine layer for algorithms and data processing
Process large volumes of operational schedule data through constraint evaluation
Generate periodic staff rosters by solving constraint problems
Real-time task assignment using proximity scoring against live employee location data
Scheduled KPI aggregation and SLA scoring across all modules

Requirements

What you’ll need

5 or more years of Python backend or data engineering experience
Experience with constraint solving, optimization, or scheduling algorithms (OR-Tools, PuLP, or equivalent)
Strong 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
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
Experience with large-scale workforce management or scheduling systems
Familiarity with SLA-based operational frameworks
Experience working in fast-paced, operationally critical environments

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Flatgigs Website LinkedIn All Job Openings 1 - 10 employees Founded 2023 🎯 Recruiter 👥 HR Tech Recruitment
HR Tech Flatgigs is a Dubai-based talent and recruitment firm that partners with investor-backed and investor-ready MENA startups to fill critical revenue-driving roles. They provide end-to-end strategic talent acquisition, performance-focused cultural fit hiring, hyper-accelerated onboarding, and data-driven hiring optimization to maximize hiring ROI and extend runway for startups. Flatgigs positions itself as a B2B partner for high-growth companies and investors, embedding experienced leaders and teams to drive faster revenue milestones and reduce hiring risk. Data Engineer, Python 🔥 0 minutes ago 🇱🇰 Sri Lanka – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🔙 Backend Engineer Apache Azure Pandas Python Scikit-Learn Spark SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Own the Python engine layer for algorithms and data processing
Process large volumes of operational schedule data through constraint evaluation
Generate periodic staff rosters by solving constraint problems
Real-time task assignment using proximity scoring against live employee location data
Scheduled KPI aggregation and SLA scoring across all modules 🎯 Requirements
5 or more years of Python backend or data engineering experience
Experience with constraint solving, optimization, or scheduling algorithms (OR-Tools, PuLP, or equivalent)
Strong 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
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
Experience with large-scale workforce management or scheduling systems
Familiarity with SLA-based operational frameworks
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Hard Skills & Tools

Pythonconstraint solvingoptimization algorithmsscheduling algorithmsdata processingSQLREST APIsmessage queuesdata validationschema enforcement