At a Glance
- Tasks: Design and optimise low-latency data processing systems for automated trading.
- Company: Join White Swan Data, a dynamic and innovative tech company in London.
- Benefits: Enjoy a performance bonus, 25 days holiday, and private health insurance.
- Other info: Collaborative culture that encourages innovation and career growth.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge technology.
- Qualifications: Strong skills in Python, Java, Google Cloud Platform, and Docker required.
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 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 in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Real-Time Trading Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the trading tech space on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to open-source software, make sure to highlight them. Real-world examples of your coding prowess in Python and Java can really impress.
✨Tip Number 3
Prepare for technical interviews by brushing up on low-latency systems and cloud technologies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 love seeing candidates who take that extra step!
We think you need these skills to ace Senior Real-Time Trading Systems Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and Java in your application. We want to see how you've used these languages in real-time trading systems or similar projects.
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements mentioned in the job description. This shows us you’re genuinely interested in the role.
Be Clear and Concise:When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you're the perfect fit for our team without waffling on.
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 us!
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. This will show that you not only know the theory but can apply it practically.
✨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 relate to real-time data processing. Be prepared to share examples of how you've leveraged cloud technologies in past projects.
✨Showcase Your Docker Knowledge
Docker is crucial for this position, so be ready to discuss your experience with containerisation. Think about how you've used Docker to streamline development or deployment processes, and be prepared to answer technical questions about it.
✨Emphasise Collaboration and Innovation
White Swan Data values a collaborative environment, so highlight your teamwork experiences. Share examples of how you've contributed to innovative solutions in previous roles, as this will resonate well with their company culture.
