Data Platform Engineer - Distributed Systems
Data Platform Engineer - Distributed Systems

Data Platform Engineer - Distributed Systems

Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a team to develop a next-gen data platform and enhance large-scale data processing.
  • Company: Global investment manager based in Greater London with a focus on innovation.
  • Benefits: Supportive environment, training opportunities, and a chance to work with cutting-edge technology.
  • Why this job: Make an impact in the finance sector while developing your skills in distributed systems.
  • Qualifications: Proficiency in Rust, C++, Go, or Java; experience in distributed systems is a plus.
  • Other info: Great opportunity for growth, even for those new to financial services.

The predicted salary is between 36000 - 60000 Β£ per year.

A global investment manager based in Greater London is seeking a Data Engineer to join their team. You will be involved in developing a next-generation data platform, handling large-scale data processing, and improving the infrastructure.

Candidates should be proficient in Rust, C++, Go, or Java, with experience in distributed systems being beneficial. The firm offers a supportive environment, focusing on innovation and training for individuals without prior financial services experience.

Data Platform Engineer - Distributed Systems employer: Qube Research & Technologies

As a global investment manager located in Greater London, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through comprehensive training programmes, especially for those new to financial services, ensuring that every team member can thrive in their role. With a focus on cutting-edge technology and a supportive work environment, we offer a unique opportunity to contribute to the development of a next-generation data platform while enjoying the benefits of working in a dynamic and forward-thinking organisation.
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Contact Detail:

Qube Research & Technologies Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Platform Engineer - Distributed Systems

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at the company. A friendly chat can sometimes open doors that applications alone can't.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects in Rust, C++, Go, or Java. This gives you a chance to demonstrate your expertise in distributed systems and makes you stand out.

✨Tip Number 3

Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with large-scale data processing.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.

We think you need these skills to ace Data Platform Engineer - Distributed Systems

Rust
C++
Go
Java
Distributed Systems
Large-Scale Data Processing
Infrastructure Improvement
Innovation
Training and Development

Some tips for your application 🫑

Show Off Your Skills: Make sure to highlight your proficiency in Rust, C++, Go, or Java in your application. We want to see how your skills align with the role of a Data Platform Engineer and how you can contribute to our next-generation data platform.

Experience Matters: If you've got experience in distributed systems, don't hold back! Share specific examples of your work in this area. It’ll help us understand how you can improve our infrastructure and handle large-scale data processing.

Tailor Your Application: Take a moment to customise your application for this role. Mention why you're excited about working in a supportive environment that focuses on innovation and training, especially if you’re new to financial services.

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 Qube Research & Technologies

✨Know Your Tech Stack

Make sure you brush up on Rust, C++, Go, and Java before the interview. Be ready to discuss your experience with these languages and how you've used them in distributed systems. This will show that you're not just familiar with the tech but can also apply it effectively.

✨Showcase Your Problem-Solving Skills

Prepare to tackle some technical challenges during the interview. Think about past projects where you faced obstacles and how you overcame them. This will demonstrate your ability to handle large-scale data processing and improve infrastructure, which is key for the role.

✨Understand the Company Culture

Research the firm’s focus on innovation and training. Be ready to discuss how you can contribute to this environment, especially if you don’t have prior financial services experience. Showing enthusiasm for learning and adapting will resonate well with the interviewers.

✨Ask Insightful Questions

Prepare a few thoughtful questions about the team, the data platform, or the company’s future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.

Data Platform Engineer - Distributed Systems
Qube Research & Technologies

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