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- Tasks: Develop and optimise Python software for innovative power system solutions.
- Company: Join a forward-thinking tech company focused on energy systems.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in the energy sector with cutting-edge technology.
- Qualifications: 8+ years of Python experience and strong problem-solving skills.
- Other info: Dynamic team environment with exciting projects and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
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.
Your responsibilities:
- Python Development Software Engineering
- 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.
Essential skills/knowledge/experience: 8+ Years of Experience.
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.
Python Developer in Wokingham employer: Avance Consulting
Contact Detail:
Avance Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer in Wokingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join online forums. The more people you know, the better your chances of landing that Python Developer role.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving Python, algorithms, and data analysis. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with optimization tools and web frameworks. Practice coding challenges to keep your skills sharp!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Python Developers like you. It’s a great way to get noticed and land that dream job.
We think you need these skills to ace Python Developer in Wokingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python expertise and relevant experience. We want to see how your skills align with the role, so don’t be shy about showcasing your algorithm development and optimization modelling experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Python development and how your background fits our needs. We love seeing enthusiasm and a bit of personality in your application.
Showcase Your Projects: If you've worked on any cool projects or have a GitHub profile, include that! We’re keen to see your coding style and problem-solving skills in action, especially if you’ve tackled data analytics or optimisation challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Avance Consulting
✨Know Your Python Inside Out
Make sure you brush up on Python's core features, especially iterators, generators, and OOP principles. Be ready to discuss how you've used these in past projects, as well as any optimisation techniques you've applied.
✨Showcase Your Algorithm Skills
Prepare to talk about specific algorithms you've developed or optimised. Bring examples of your work with Linear Programming or Mixed Integer Linear Programming models, and be ready to explain the thought process behind your solutions.
✨Familiarise Yourself with Relevant Tools
Get comfortable with tools like Pandas, NumPy, and any optimisation libraries you've used, such as Pyomo or Gurobi. Being able to discuss your experience with these tools will show that you're not just familiar with theory but have practical skills too.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. Good communication is key, especially when discussing your past experiences or when collaborating with team members. Make sure you can articulate your thoughts clearly during the interview.
