At a Glance
- Tasks: Design and scale platforms for massive market data and tackle complex systems tasks.
- Company: Leading quantitative finance firm in Greater London with a focus on engineering excellence.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a team that values intellectual curiosity and innovation.
- Why this job: Shape how data drives investment decisions in a cutting-edge finance platform.
- Qualifications: 5-7 years of software engineering experience with Java or Python required.
The predicted salary is between 48000 - 72000 £ per year.
A leading quantitative finance firm in Greater London is seeking a skilled Data Engineer to build mission-critical data systems. In this role, you will design and scale platforms for massive volumes of market data and tackle complex distributed systems tasks. The ideal candidate should have 5-7 years of software engineering experience with Java or Python, and a strong academic background in a related field. Join a team that values engineering excellence and intellectual curiosity, shaping how data drives investment decisions.
Responsibilities:
- Design and scale platforms for massive volumes of market data.
- Tackle complex distributed systems tasks as part of mission-critical data infrastructure.
Qualifications:
- 5-7 years of software engineering experience with Java or Python.
- Strong academic background in a related field.
Senior Data Engineer - Real-Time Quant Finance Platform in London employer: Glocomms
At Glocomms, we pride ourselves on being an excellent employer by fostering a dynamic work culture that values innovation and collaboration. Our hybrid work model offers flexibility, allowing employees to balance their professional and personal lives while working on impactful projects for leading insurance clients. With ample opportunities for growth and development, we empower our team members to advance their careers in the exciting field of insurance technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Real-Time Quant Finance Platform in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and tech sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Java or Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with distributed systems and how you've tackled complex data challenges.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and genuinely interested in joining our team. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Data Engineer - Real-Time Quant Finance Platform in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Java or Python, especially in relation to data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative finance and how your background makes you a perfect fit for our team. Let us know what excites you about tackling complex distributed systems.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled challenging data problems. We love seeing how you approach complex tasks, so share those stories that demonstrate your engineering excellence and intellectual curiosity.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Glocomms
✨Know Your Tech Inside Out
Make sure you’re well-versed in Java or Python, as these are crucial for the role. Brush up on your coding skills and be ready to tackle technical questions or even live coding challenges during the interview.
✨Understand the Business Context
Familiarise yourself with how data drives investment decisions in quantitative finance. Research the firm’s approach to market data and be prepared to discuss how your experience aligns with their goals.
✨Prepare for Distributed Systems Questions
Since the role involves complex distributed systems tasks, review key concepts and be ready to explain your past experiences with similar challenges. Think of specific examples where you’ve designed or scaled data platforms.
✨Show Your Curiosity
This firm values intellectual curiosity, so don’t hesitate to ask insightful questions about their projects and technologies. This shows your genuine interest in the role and helps you stand out as a candidate.
