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- Tasks: Create and maintain backend services and data infrastructure for high-scale solutions.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Ideal for those passionate about optimising systems and troubleshooting.
- Why this job: Join a dynamic team and work on cutting-edge distributed technologies.
- Qualifications: Proficiency in Java and experience with OpenSearch and Kafka.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in Greater London is looking for a highly skilled Backend Data Developer to create and maintain critical backend services and data infrastructure. The role requires proficiency in Java and experience with distributed technologies such as OpenSearch and Kafka. Ideal candidates will have strong troubleshooting skills and a passion for optimizing systems. This position offers an opportunity to work on high-scale distributed solutions in a collaborative environment.
Backend Data Engineer | High-Scale Infrastructure in London employer: Glassbox
Contact Detail:
Glassbox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Data Engineer | High-Scale Infrastructure in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. 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 GitHub repository showcasing your projects, especially those involving Java, OpenSearch, or Kafka. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your troubleshooting skills. Practice common backend scenarios and be ready to discuss how you've optimised systems in the past. 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. Tailor your application to highlight your experience with high-scale distributed solutions.
We think you need these skills to ace Backend Data Engineer | High-Scale Infrastructure in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java and any distributed technologies like OpenSearch and Kafka. 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! Use it to express your passion for optimising systems and troubleshooting. Let us know why you’re excited about working on high-scale distributed solutions with our team.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in past roles. We love candidates who can demonstrate strong troubleshooting skills, so share those stories that highlight your analytical thinking!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Glassbox
✨Know Your Tech Stack
Make sure you brush up on your Java skills and understand the distributed technologies mentioned in the job description, like OpenSearch and Kafka. Be ready to discuss how you've used these tools in past projects and any challenges you faced.
✨Showcase Your Troubleshooting Skills
Prepare examples of how you've tackled complex problems in your previous roles. Think about specific instances where you optimised systems or resolved issues quickly, as this will demonstrate your ability to handle the demands of the role.
✨Collaborative Mindset
Since the position involves working in a collaborative environment, be ready to talk about your experience working in teams. Share stories that highlight your communication skills and how you contribute to group success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data infrastructure and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.