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- Tasks: Design and build solutions for a world-class trading system using cutting-edge technologies.
- Company: Join a leading tech firm focused on innovation and growth.
- Benefits: Competitive salary, flexible work options, and opportunities for professional development.
- Other info: Dynamic team environment with exciting challenges and career advancement opportunities.
- Why this job: Make an impact on a petabyte-scale data platform with your coding skills.
- Qualifications: Experience in C#, Python, or other programming languages; passion for software engineering.
The predicted salary is between 60000 - 80000 £ per year.
Engineering underpins our continued growth and success, and we are committed to recruiting and developing the world’s best Engineers. Our teams develop and build tooling for a petabyte-scale compute farm; your code will exist at the cutting-edge underpinned by near infinite compute power. Most of our systems are written in C# or Python, but we also have specialist teams using C++, Java and F#. We utilise modern web, distributed and big data technologies, which means we have a broad range of software engineering challenges for the right person.
Key responsibilities of the role include:
- Contributing to the evolution and successful operation of a world-class trading system
- Designing and building solutions that drive value for our petabyte-scale data platform
- Continuously exploring and developing solutions to improve data and compute throughput at scale
Software Engineer - Petabyte-Scale Data & Trading Systems in London employer: Europython
Contact Detail:
Europython Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Petabyte-Scale Data & Trading Systems in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insights into the company culture and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of projects that highlight your experience with C#, Python, or any other relevant tech. Having tangible examples of your work can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your coding skills and be ready for technical interviews. Use platforms like LeetCode or HackerRank to tackle problems similar to what you might face in the interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Software Engineer - Petabyte-Scale Data & Trading Systems in London
Some tips for your application 🫡
Show Your Passion for Engineering: When writing your application, let your enthusiasm for software engineering shine through. We want to see how excited you are about tackling challenges and contributing to our petabyte-scale data platform.
Tailor Your Experience: Make sure to highlight your experience with C#, Python, or any other relevant languages mentioned in the job description. We love seeing how your skills align with our needs, so don’t hold back on showcasing your best projects!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for our team. Remember, we’re looking for engineers who can communicate effectively!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Europython
✨Know Your Tech Stack
Make sure you’re well-versed in C#, Python, and any other languages mentioned in the job description. Brush up on your knowledge of distributed systems and big data technologies, as these will likely come up during technical questions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects, especially those related to scaling systems or optimising performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Understand the Business Impact
Be ready to explain how your contributions can drive value for a petabyte-scale data platform. Research the company’s trading systems and think about how your skills can enhance their operations.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their engineering practices, team dynamics, or future projects. This not only demonstrates your enthusiasm but also helps you gauge if it’s the right fit for you.