Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop AI applications using Python and Django while managing data pipelines.
- Company: Join a VC-backed startup in the heart of Waterloo, London.
- Benefits: Gain valuable experience and work on innovative products.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Be part of a growing field and make an impact with your skills.
- Qualifications: Recent graduates with a passion for backend development and AI.
The predicted salary is between 28000 - 38000 £ per year.
GodmodeHQ is looking for a New Graduate Backend Engineer to join their team in Waterloo, London. The role involves developing applications using Python and Django with a focus on AI solutions. You will assist in integrations, manage data pipelines, and help scale the company's innovative products. This is a great opportunity for recent graduates to be part of a VC-backed startup and gain valuable experience in a growing field.
New Grad Backend Engineer: AI & Data Pipelines in London employer: Godmodehq
Contact Detail:
Godmodehq Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land New Grad Backend Engineer: AI & Data Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the AI and data space. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those using Python and Django. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing fresh talent eager to dive into the world of AI and data pipelines.
We think you need these skills to ace New Grad Backend Engineer: AI & Data Pipelines in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let us know why you're excited about AI and data pipelines. Share any projects or experiences that highlight your interest in these areas – it’ll make you stand out!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the role. Highlight your skills in Python and Django, and mention any relevant coursework or projects. We want to see how you fit into our team!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible and avoid jargon. We appreciate straightforward communication, so make it easy for us to see your qualifications.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Godmodehq
✨Know Your Tech Stack
Make sure you’re familiar with Python and Django, as these are key to the role. Brush up on your coding skills and be ready to discuss how you've used these technologies in your projects or studies.
✨Understand AI & Data Pipelines
Since the role focuses on AI solutions and data management, take some time to understand the basics of AI and how data pipelines work. Be prepared to talk about any relevant coursework or personal projects that demonstrate your knowledge.
✨Show Your Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Practice coding challenges and think aloud during the interview to show your thought process. This will help the interviewers see how you approach problems.
✨Ask Insightful Questions
Prepare a few thoughtful questions about GodmodeHQ’s products and future plans. This shows your genuine interest in the company and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewers.