Python Developer

Opportunity

Python Developer

• We are seeking an experienced Python Developer with strong expertise in algorithm development, optimization modelling, and power system techno‐economic assessment.
• The ideal candidate will have deep knowledge of Python’s core features, data analysis, web frameworks, and modern development practices.
• Experience with mathematical optimization tools, containerization, and message‐queue technologies will be considered a significant advantage.

Desirable skills/knowledge/experience:

• Strong proficiency in Python programming and its optimization/analytics ecosystems.
• Proven experience with algorithm development and computational problem‐solving.
• Hands‐on experience with data analytics, visualization, and database systems.
• Solid understanding of power system modelling, techno‐economic simulation, and energy systems.
• Strong debugging, profiling, and performance optimization skills.
• Excellent communication and documentation abilities.
• Experience using Pyomo, AMPL, Gurobi, CPLEX, or similar optimization tools.
• Working knowledge of containerization and cloud‐native deployment.
• Familiarity with RabbitMQ/Kafka, microservice architecture, and distributed systems.

Your responsibilities:

• Develop, optimize, and maintain software using core Python features including iterators/generators, exception handling, file handling, type hints, OOP, and data structure design.
• Build scalable algorithms and write clean, maintainable, and well‐structured code.
• Develop and maintain RESTful APIs using OpenAPI/Swagger, Connexion, or FastAPI.
• Work with Python web frameworks such as Flask, Django, FastAPI, and Jinja2.
• Data, Analytics & Databases
• Perform data manipulation and analysis using tools like Pandas and NumPy.
• Design, query, and maintain both relational databases (e.g., PostgreSQL) and NoSQL/document stores (e.g., MongoDB).
• Build data pipelines and support analytics dashboards and visualizations in Python.
• Mathematical Modelling & Optimization
• Develop and solve Linear Programming (LP), Mixed Integer Linear Programming (MILP), and other optimization models.
• Use optimization tools and libraries such as Pyomo, AMPL, Gurobi, CPLEX, or similar solvers.
• Model the behaviour of power system components including generation assets, demand profiles, and network elements.
• Contribute to techno‐economic assessments of power systems using Python-based models.
• Quality Assurance & DevOps
• Write unit tests using unittest or pytest, with exposure to Test‐Driven Development (TDD) methodologies.
• Use Git and modern version‐control workflows; collaborate via Azure DevOps or similar platforms.
• (Bonus) Develop and deploy containerized applications using Docker, and support container orchestration (e.g., Kubernetes).
• (Bonus) Work with messaging/streaming technologies such as RabbitMQ or Kafka.