AI-Powered Python API & Data Engineer (Energy) in London

AI-Powered Python API & Data Engineer (Energy) in London

London Full-Time 55000 - 70000 £ / year (est.) No working from home possible
Modo Energy

At a Glance

  • 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) 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.

Modo Energy

Contact Details:

Modo Energy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI-Powered Python API & Data Engineer (Energy) in London

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 open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your API projects and data engineering work. This gives potential employers a taste of what you can do beyond the written application.

Tip Number 3

Prepare for those interviews! Brush up on your knowledge of API standards and AI tools, and be ready to discuss how you've tackled challenges in past projects. Confidence is key!

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 tracking your application easier for us!

We think you need these skills to ace AI-Powered Python API & Data Engineer (Energy) in London

Python
API Development
Data Engineering
Infrastructure Design
Code Quality Assurance
AI Tools
Project Lifecycle Management

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 you've worked on!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your genuine interest in AI tools and the energy sector. Let us know why you’re excited about this opportunity and how you can contribute to our team.

Showcase Your Projects:If you’ve got any personal or professional projects that demonstrate your skills in building APIs or working with complex data, include them! We love seeing real-world applications of your expertise.

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!

How to prepare for a job interview at Modo Energy

Know Your APIs

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 the past, especially in relation to complex data sets like those in the energy sector.

Showcase Your AI Interest

Since the role requires a genuine interest in AI tools, prepare examples of how you've used AI in your previous projects. This could be anything from automating data processes to enhancing data analysis with machine learning techniques.

Project Ownership Stories

Be ready to share specific stories about your full lifecycle ownership of projects. Highlight challenges you faced, how you designed infrastructure, and the steps you took to ensure code quality. This will demonstrate your capability and commitment.

Embrace the Hybrid Work Culture

Understand the dynamics of a hybrid work environment. Think about how you can effectively collaborate with remote teams and manage your time. Mention any previous experience you have in similar setups to show you're adaptable.