At a Glance
- Tasks: Architect scalable systems for AI products using GraphQL and BigQuery.
- Company: Dynamic tech firm in the UK with a startup mindset.
- Benefits: Competitive salary, unlimited holiday, and growth opportunities.
- Why this job: Join a collaborative team and make an impact with cutting-edge technology.
- Qualifications: Experience in backend engineering and passion for large datasets.
- Other info: Innovative environment with a focus on performance and teamwork.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic tech firm in the UK seeks an experienced Backend Engineer to architect scalable systems behind their AI products. If you have expertise in GraphQL, BigQuery, and a passion for working with large datasets, this is your opportunity.
The ideal candidate will drive optimal performance, collaborate with cross-functional teams, and embrace a startup mindset to deliver impactful solutions.
With a competitive salary and unlimited holiday, this role promises growth and innovation in a collaborative environment.
Backend Engineer: GraphQL, BigQuery & AI Data Platform employer: CRED
Contact Detail:
CRED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer: GraphQL, BigQuery & AI Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GraphQL and BigQuery. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common backend engineering questions and scenarios. Practice explaining your thought process and how you tackle challenges, as this will highlight your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Backend Engineer: GraphQL, BigQuery & AI Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GraphQL, BigQuery, and any relevant AI projects. We want to see how your skills align with our needs, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about backend engineering and how you can contribute to our dynamic team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for someone who can drive optimal performance, so share those impactful solutions you’ve delivered!
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 our team!
How to prepare for a job interview at CRED
✨Know Your Tech Inside Out
Make sure you brush up on your GraphQL and BigQuery skills before the interview. Be ready to discuss how you've used these technologies in past projects, and think of specific examples where you've optimised performance or solved complex problems.
✨Show Your Collaborative Spirit
Since this role involves working with cross-functional teams, be prepared to share experiences where you've successfully collaborated with others. Highlight your ability to communicate technical concepts to non-technical team members, as this will demonstrate your teamwork skills.
✨Embrace the Startup Mindset
This company values innovation and agility, so come equipped with ideas on how you can contribute to their AI products. Think about how you can drive impactful solutions and be ready to discuss how you adapt to changing environments and challenges.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company's vision and culture. Inquire about their current projects involving AI and data platforms, and ask how they measure success in their engineering teams. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.