At a Glance
- Tasks: Build and enhance a cutting-edge data analytics platform for real-time trading insights.
- Company: Join TMX Group, a leader in financial technology based in London.
- Benefits: Enjoy competitive pay, health perks, and opportunities for remote work.
- Other info: Dynamic work environment with great potential for career advancement.
- Why this job: Be part of a diverse team driving innovation in real-time analytics.
- Qualifications: Strong skills in C# or Kotlin and experience with distributed systems.
The predicted salary is between 60000 - 80000 £ per year.
TMX Group in the City Of London is seeking a Software Developer to work on its flagship data analytics platform. You will be involved in system architecture, project coordination, and peer code review, contributing to applications that handle extensive data for real-time trading insights.
The ideal candidate has a strong knowledge of C# or Kotlin, with experience in distributed systems and technologies like Kubernetes and Kafka. Join a team that values diverse collaboration and innovation.
Backend Platform Engineer – Real-Time Analytics in London employer: TMX Group
TMX Group is an exceptional employer located in the vibrant City of London, offering a dynamic work culture that fosters innovation and collaboration among diverse teams. Employees benefit from continuous growth opportunities, competitive compensation, and the chance to work on cutting-edge technology in real-time analytics, making it a rewarding environment for those passionate about software development and data-driven insights.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Platform Engineer – Real-Time Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings at TMX Group or similar companies.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C#, Kotlin, or distributed systems. This will give potential employers a taste of what you can bring to their real-time analytics platform.
✨Tip Number 3
Prepare for technical interviews by brushing up on system architecture and peer code review processes. Practise coding challenges related to Kubernetes and Kafka to demonstrate your expertise during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Backend Platform Engineer – Real-Time Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with C# or Kotlin, and any work you've done with distributed systems. 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 excited about working on our data analytics platform and how your background in system architecture can contribute to our team. Keep it engaging and personal!
Showcase Your Collaboration Skills:Since we value diverse collaboration, mention any experiences where you’ve worked in teams or led projects. Highlighting your ability to coordinate and communicate effectively will make you stand out to us.
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’s super easy – just follow the prompts!
How to prepare for a job interview at TMX Group
✨Know Your Tech Stack
Make sure you brush up on your C# or Kotlin skills before the interview. Be ready to discuss your experience with distributed systems and how you've used technologies like Kubernetes and Kafka in past projects. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Understand Real-Time Analytics
Familiarise yourself with real-time data processing concepts and how they apply to trading insights. Be prepared to discuss how you would approach building or improving a data analytics platform. This shows your enthusiasm for the role and your understanding of its importance.
✨Collaboration is Key
Since the team values diverse collaboration, think about examples from your past where you successfully worked in a team setting. Be ready to share how you handled peer code reviews and project coordination, as this will highlight your teamwork skills and adaptability.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data analytics platform and their future projects. This not only demonstrates your interest in the role but also gives you a chance to assess if the company culture aligns with your values. It’s a win-win!
