At a Glance
- Tasks: Design and optimise low-latency data processing systems for automated trading.
- Company: Join White Swan Data, a leader in innovative trading technology.
- Benefits: Performance bonus, 25 days holiday, private health insurance, and more.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
- Qualifications: Strong skills in Python, Java, Google Cloud Platform, and Docker.
The predicted salary is between 60000 - 80000 £ per year.
White Swan Data is seeking a Senior Software Developer to join our Engineering team in London. You'll design and optimize low-latency data processing systems that execute automated trading strategies. A dynamic environment fosters collaboration and innovation, where your contributions significantly impact our success.
The ideal candidate will have strong skills in Python and Java, and proficiency in Google Cloud Platform and Docker.
Benefits include a performance bonus, 25 days holiday, private health insurance, and more.
Senior Real-Time Trading Systems Engineer in London employer: White Swan Data
At White Swan Data, we pride ourselves on being an exceptional employer, offering a vibrant work culture in the heart of London that encourages innovation and collaboration. Our commitment to employee growth is reflected in our comprehensive benefits package, including a performance bonus, 25 days of holiday, and private health insurance, ensuring that our team members thrive both personally and professionally while making impactful contributions to our cutting-edge trading systems.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Real-Time Trading Systems Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading tech space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving low-latency systems or automated trading strategies. We love seeing real-world applications of your coding prowess!
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and Java. We recommend practicing coding challenges and system design questions. The more comfortable you are, the better you’ll perform when it counts!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who want to make an impact.
We think you need these skills to ace Senior Real-Time Trading Systems Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with low-latency data processing and automated trading systems. We want to see how your skills in Python and Java shine through, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Explain why you’re excited about working with us at White Swan Data and how you can contribute to our dynamic environment.
Showcase Relevant Projects:If you've worked on any projects involving Google Cloud Platform or Docker, make sure to mention them! We love seeing real-world applications of your skills, so share those experiences that demonstrate your expertise.
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!
How to prepare for a job interview at White Swan Data
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Java skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in low-latency environments. It’s a great way to show your expertise and how you can contribute to their automated trading strategies.
✨Familiarise Yourself with Google Cloud Platform
Since the role requires proficiency in Google Cloud Platform, take some time to understand its key features and how they apply to real-time data processing. You might be asked about your experience with cloud services, so having examples ready will help you stand out.
✨Showcase Your Docker Knowledge
Docker is crucial for this position, so be prepared to discuss how you've used it in past projects. Think of specific instances where you’ve optimised containerisation for performance or scalability, as this will demonstrate your practical knowledge and problem-solving skills.
✨Emphasise Collaboration and Innovation
White Swan Data values a dynamic environment, so highlight your experiences working in collaborative teams. Share examples of how you’ve contributed to innovative solutions in previous roles, as this aligns perfectly with their company culture and mission.
