At a Glance
- Tasks: Develop and optimise Python software for innovative power system solutions.
- Company: Leading tech firm in Wokingham with a focus on energy systems.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the energy sector.
- Qualifications: 8+ years of Python experience and strong problem-solving skills.
- Other info: Collaborative environment with exciting projects and career advancement.
The predicted salary is between 28800 - 48000 Β£ 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.
Key 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.
Your Profile
- 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 employer: Stackstudio Digital Ltd.
Contact Detail:
Stackstudio Digital Ltd. Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Python Developer
β¨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, tech talks, or even online webinars. You never know who might have a lead on your dream Python Developer role!
β¨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those involving Python, algorithms, and data analysis. This is your chance to demonstrate your expertise and make a lasting impression.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects in detail. We want you to shine when it comes to demonstrating your Python prowess!
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Python Developer
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Python Developer role. Highlight your experience with Python, algorithm development, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include a section in your application that showcases your projects, especially those involving data analysis, web frameworks, or optimization models. This gives us a glimpse of your practical experience and problem-solving skills.
Be Clear and Concise: When writing your cover letter, keep it clear and concise. Explain why you're interested in the role and how your background makes you a great fit. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! Itβs the best way for us to receive your application and ensures youβre considered for the role. We canβt wait to see what you bring to the table!
How to prepare for a job interview at Stackstudio Digital Ltd.
β¨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially the core features like iterators, exception handling, and OOP. Be ready to discuss how you've used these in past projects, as well as any specific libraries or frameworks mentioned in the job description.
β¨Showcase Your Problem-Solving Skills
Prepare to talk about your experience with algorithm development and optimization modelling. Think of examples where you've tackled complex problems using Python, and be ready to explain your thought process and the tools you used, like Pyomo or Gurobi.
β¨Demonstrate Your Data Savvy
Since data manipulation and analysis are key parts of the role, be prepared to discuss your experience with tools like Pandas and NumPy. You might even want to bring a small project or example that showcases your ability to build data pipelines or analytics dashboards.
β¨Familiarise Yourself with DevOps Practices
Understanding modern development practices is crucial. Brush up on Git workflows, unit testing with unittest or pytest, and containerization with Docker. If you have experience with Azure DevOps or similar platforms, be sure to highlight that during the interview.