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- Tasks: Design and build data platform components using C# and Python.
- Company: Client Server, a leading tech firm in London.
- Benefits: Competitive salary up to £150k, bonuses, and flexible work options.
- Other info: Join a collaborative team with great career growth potential.
- Why this job: Make a real impact in data engineering with substantial ownership.
- Qualifications: Strong backend development skills and market data experience required.
The predicted salary is between 100000 - 150000 £ per year.
Client Server is looking for a Backend Software Engineer in London, offering a salary of £100k - £150k plus bonus and benefits.
You'll design and build data platform components using C# and Python, develop ETL pipelines, and improve CI/CD practices.
The role requires strong backend development, knowledge of databases, and experience with market data.
With a collaborative team and flexible work-from-home options, this position offers substantial ownership and impact in data engineering.
Market Data Backend Engineer (C# & Python) – Hybrid in London employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Backend Engineer (C# & Python) – Hybrid 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 with projects that highlight your C# and Python expertise. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around ETL pipelines and CI/CD practices. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Market Data Backend Engineer (C# & Python) – Hybrid in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with C# and Python in your application. We want to see how you've used these languages to build data platform components or develop ETL pipelines. Don’t hold back on showcasing your backend development skills!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with our needs, especially when it comes to market data and CI/CD practices. A tailored application shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. This helps us quickly understand your qualifications and fit for the role.
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. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Client Server
✨Know Your Tech Stack
Make sure you’re well-versed in C# and Python, as these are crucial for the role. Brush up on your knowledge of databases and ETL processes, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about specific examples where you’ve improved CI/CD practices or built data platform components. This will demonstrate your hands-on experience and ability to think critically.
✨Understand Market Data
Since the role involves market data, do a bit of research on the latest trends and technologies in this area. Being able to discuss relevant market data concepts will show that you’re not just technically skilled but also knowledgeable about the industry.
✨Emphasise Collaboration
This position is all about teamwork, so be prepared to talk about your experiences working in collaborative environments. Share examples of how you’ve successfully worked with others to achieve common goals, especially in data engineering projects.