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- Tasks: Design and develop low-latency data processing systems for trading strategies.
- Company: Leading data technology company in London with a dynamic team.
- Benefits: Competitive salary, flexible working, gym membership, and health insurance.
- Why this job: Join a cutting-edge team and make an impact in the trading tech world.
- Qualifications: Strong programming skills in Python and Java, plus experience with Google Cloud Platform and Docker.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading data technology company in London is seeking a Senior Software Developer to join their dynamic team. You will design and develop low-latency data processing systems, collaborating with analysts to turn trading strategies into production code.
Required skills include:
- Strong programming proficiency in Python and Java
- Experience with Google Cloud Platform
- Experience with Docker
The role offers competitive salary, flexible working arrangements, and various employee benefits including a gym membership and health insurance.
Senior Low-Latency Trading Systems Engineer in London employer: White Swan Data
Contact Detail:
White Swan Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Low-Latency Trading Systems Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving low-latency systems or cloud tech. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python and Java. Practice common algorithms and data structures, and don't forget to review low-latency concepts!
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're genuinely interested in joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Low-Latency Trading Systems Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Java, and any relevant cloud technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your low-latency systems expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about trading systems and how your background makes you a perfect fit for our team. Let us know what excites you about working with us at StudySmarter.
Showcase Your Projects: If you've worked on any projects related to data processing or trading systems, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve Google Cloud Platform or Docker.
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 White Swan Data
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills in Python and Java. Be ready to discuss specific projects where you've used these languages, especially in low-latency environments. It’s a good idea to prepare some examples of how you’ve optimised code for performance.
✨Familiarise Yourself with Cloud Technologies
Since the role involves Google Cloud Platform, take some time to understand its key features and services. Be prepared to talk about any experience you have with cloud-based systems and how they can enhance trading strategies.
✨Docker Knowledge is Key
As Docker is mentioned in the job description, make sure you can explain how you’ve used it in past projects. Think about how containerisation can improve deployment processes and scalability in trading systems.
✨Show Your Collaborative Spirit
This role requires working closely with analysts, so be ready to discuss how you’ve collaborated with non-technical teams in the past. Highlight your communication skills and how you translate complex technical concepts into understandable terms for others.
