At a Glance
- Tasks: Join our Data Engineering team to develop a next-gen data platform and solve complex challenges.
- Company: Qube Research & Technologies, a global leader in quantitative investment management.
- Benefits: Competitive salary, training opportunities, and a healthy work-life balance.
- Other info: Diverse and inclusive culture with excellent career growth potential.
- Why this job: Make a real impact in a tech-driven environment with innovative projects.
- Qualifications: Experience in programming languages like Rust, Go, C++, or Java; strong collaboration skills.
The predicted salary is between 72000 - 88000 £ per year.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world.
We are a technology and data driven group implementing a scientific approach to investing.
Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges.
QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
You will join our Data Engineering team as an integral member.
Our team works closely to solve challenging problems with a direct impact on both the business and trading activities.
In this role, you will contribute to the development of our next-generation data platform, designed to incrementally ingest, aggregate, and index data from diverse sources.
This project is of critical importance to the continued success of the business.
Key aspects of the project include distributed systems development, large-scale data processing, and building a platform that is fast, reliable, scalable, and user-friendly.
Our primary language is Rust.
While prior Rust experience is welcome, it is not required - we are equally open to strong candidates with experience in C++, Go, or Java.
Experience with financial data is advantageous but not essential.
We welcome talented developers without a background in financial services and are committed to providing training and guidance.
Your future role at QRT
- Designing and developing scalable, robust services using best practices
- Writing automated tests
- Maintaining and scaling delivery/integration pipelines
- Developing reusable libraries for the Data Engineering team
- Collaborating with engineering teams and researchers to propose and implement new framework features
- Experience and knowledge in distributed systems and big data processing
- Proficiency in at least one of the following programming languages: Rust, Go, C++, or Java
- Strong understanding of multi-threading
- Knowledge of testing within continuous delivery and integration pipelines
- Familiarity with SQL and relational databases
- Excellent communication skills, with the ability to collaborate effectively in a small, close-knit team
- Familiarity with cloud technologies (AWS preferred)
- Fluency in English
QRT is an equal opportunity employer.
We welcome diversity as essential to our success.
QRT empowers employees to work openly and respectfully to achieve collective success.
In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
#J-18808-Ljbffr
Software Engineer - Data Platform employer: Qube Research & Technologies
At Qube Research & Technologies, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. As a Platform Security Engineer, you will have the opportunity to work in a cutting-edge environment where your contributions directly impact our security posture, while also benefiting from professional growth opportunities and a commitment to employee well-being. Located in a vibrant tech hub, we offer a unique blend of challenging projects and a supportive team atmosphere, making us an excellent employer for those seeking meaningful and rewarding work.
Contact Details:
Qube Research & Technologies Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Data Platform
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Qube Research & Technologies or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Qube Research & Technologies.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Qube Research & Technologies.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Qube Research & Technologies that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer - Data Platform
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Qube Research & Technologies.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Qube Research & Technologies and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Qube Research & Technologies
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Qube Research & Technologies uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
