At a Glance
- Tasks: Build and maintain energy forecasting services using Python and collaborate with data experts.
- Company: Innovative energy tech company based in London with a focus on sustainability.
- Benefits: Competitive salary, hybrid work model, and great benefits package.
- Why this job: Join a forward-thinking team and contribute to sustainable energy solutions.
- Qualifications: 3-5 years of Python experience, Django REST Framework, and AWS skills.
The predicted salary is between 50000 - 65000 £ per year.
An innovative energy technology company in London is seeking a backend Python Engineer for its Modelling team. The successful candidate will build and maintain services for energy forecasting models, collaborating with data scientists and analysts.
Ideal applicants will have:
- 3–5 years of Python experience
- Expertise in Django REST Framework
- Proficiency in task orchestration with Celery and AWS
This role offers a hybrid work environment, including office days on Tuesday, Wednesday, and Thursday, alongside competitive salary and benefits.
Hybrid Backend Python Engineer - AI Energy Forecasting in London employer: Modo Energy
Modo Energy is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about the energy sector and SaaS solutions. With competitive compensation, equity options, and a hybrid work model, employees are empowered to thrive while enjoying a healthy work-life balance. The company prioritises professional growth, offering ample opportunities for development and collaboration within a supportive team environment in the vibrant Greater London area.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Backend Python Engineer - AI Energy Forecasting in London
✨Tip Number 1
Network like a pro! Reach out to folks in the energy tech space, especially those working with AI and Python. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo showcasing your Python projects, especially any related to Django or AWS. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with task orchestration using Celery and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! It’s 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 Hybrid Backend Python Engineer - AI Energy Forecasting in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python experience and any relevant projects you've worked on. We want to see how your skills align with our needs, so don’t be shy about showcasing your expertise in Django REST Framework and task orchestration!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background makes you a perfect fit for our Modelling team. We love seeing genuine enthusiasm for energy technology!
Showcase Your Collaboration Skills:Since you'll be working closely with data scientists and analysts, it's important to highlight any past experiences where you've successfully collaborated with others. We value teamwork, so let us know how you can contribute to our dynamic environment!
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Modo Energy
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python, especially in relation to Django REST Framework. They’ll likely want to see how you can apply your knowledge to their energy forecasting models.
✨Familiarise Yourself with Energy Forecasting
Do some research on energy forecasting and the specific challenges it presents. Understanding the context of the role will help you answer questions more effectively and show that you're genuinely interested in the field.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists and analysts, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked in teams and contributed to joint projects.
✨Prepare for Technical Questions
Expect technical questions related to task orchestration with Celery and AWS. Brush up on these technologies and be ready to explain how you’ve implemented them in previous roles. Practical examples will make your answers stand out!
