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- Tasks: Design and develop full-stack applications for real-time finance tech.
- Company: Dynamic financial services firm in Greater London.
- Benefits: Competitive salary, flexible hours, and opportunities for growth.
- Why this job: Join a fast-paced team at the cutting edge of finance and technology.
- Qualifications: Experience with Python, REST APIs, and CI/CD practices.
- Other info: Exciting environment with potential for career advancement.
The predicted salary is between 60000 - 80000 £ per year.
A financial services firm in Greater London is seeking a Full-Stack Python Engineer. In this role, you will design, develop, and optimize full-stack applications, focusing on real-time data and analytics systems.
Ideal candidates will have experience with:
- REST APIs
- Event-driven architectures
- CI/CD practices
This position offers the chance to work in a fast-paced environment at the intersection of finance and technology.
Full-Stack Python Engineer for Real-Time Finance Tech employer: Roc Search
Contact Detail:
Roc Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack Python Engineer for Real-Time Finance Tech
✨Tip Number 1
Network like a pro! Reach out to folks in the finance tech space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your full-stack projects, especially those involving real-time data and analytics. We want to see your coding chops in action, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for technical interviews by brushing up on REST APIs and event-driven architectures. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Full-Stack Python Engineer for Real-Time Finance Tech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with full-stack development, especially in Python. We want to see how you've tackled real-time data and analytics systems, so don’t hold back on those details!
Showcase Your Projects: Include links to any relevant projects or GitHub repositories that demonstrate your skills with REST APIs and event-driven architectures. This gives us a peek into your coding style and problem-solving abilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the intersection of finance and technology, and how your background makes you a perfect fit for this role. Keep it engaging and personal!
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 Roc Search
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, REST APIs, and event-driven architectures. Brush up on your knowledge of CI/CD practices too, as they’ll likely ask you how you’ve implemented these in past projects.
✨Showcase Real-Time Solutions
Prepare to discuss any previous experience you have with real-time data applications. Be ready to explain the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and adaptability in a fast-paced environment.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s tech stack, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
✨Practice Coding Challenges
Since this is a technical role, expect coding challenges or technical questions during the interview. Practice common algorithms and data structures, and be ready to explain your thought process as you solve problems. This will help you stand out as a strong candidate.