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- Tasks: Build stable APIs and data presentation layers for complex energy market data.
- Company: Leading energy tech company in London with a focus on innovation.
- Benefits: Competitive salary, hybrid work environment, and comprehensive benefits.
- Other info: Opportunity for full lifecycle project ownership and career growth.
- Why this job: Join a dynamic team and work with AI tools to shape the future of energy.
- Qualifications: 4+ years of experience in software/data engineering and mastery of API standards.
The predicted salary is between 55000 - 70000 £ per year.
A leading energy tech company in London seeks a Software Engineer/Data Engineer to build data presentation layers and stable APIs for complex energy market data.
Responsibilities include:
- Full lifecycle ownership of projects
- Designing infrastructure
- Ensuring code quality
The ideal candidate has:
- 4+ years of experience
- Mastery of API standards
- A genuine interest in AI tools
Modo promotes a hybrid work environment and offers competitive salary and benefits.
AI-Powered Python API & Data Engineer (Energy) employer: Modo Energy
Contact Detail:
Modo Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Powered Python API & Data Engineer (Energy)
✨Tip Number 1
Network like a pro! Reach out to folks in the energy tech space on LinkedIn or at industry events. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving APIs and data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common coding challenges and be ready to discuss your experience with AI tools and data presentation layers.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the application process smoother for everyone involved.
We think you need these skills to ace AI-Powered Python API & Data Engineer (Energy)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with API standards and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI tools and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects related to energy tech or data presentation layers, make sure to mention them. We love seeing real-world applications of your skills!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Modo Energy
✨Know Your APIs Inside Out
Make sure you brush up on your knowledge of API standards and best practices. Be ready to discuss how you've designed and implemented APIs in previous roles, especially in the context of energy market data.
✨Showcase Your AI Passion
Since the role requires a genuine interest in AI tools, prepare examples of how you've used AI in your projects. Whether it's through data analysis or enhancing user experience, make it clear how AI has played a part in your work.
✨Demonstrate Full Lifecycle Ownership
Be prepared to talk about your experience with the full lifecycle of projects. Highlight specific instances where you've taken ownership from design to deployment, and how you ensured code quality throughout the process.
✨Embrace the Hybrid Work Culture
Understand the dynamics of hybrid work environments. Share your experiences working remotely and in-person, and how you’ve maintained productivity and collaboration in both settings. This will show that you're adaptable and ready for their work culture.