At a Glance
- Tasks: Develop and maintain software for real-time sports data products.
- Company: Global sports betting tech provider based in London.
- Benefits: Competitive benefits package tailored to the UK location.
- Why this job: Join a collaborative team and innovate in the exciting world of sports data.
- Qualifications: Proficiency in Python or Java, with Kubernetes and Docker expertise.
The predicted salary is between 43200 - 72000 £ per year.
A global sports betting technology provider based in London is seeking a Senior Software Engineer for their Data Acquisition team. The ideal candidate will develop and maintain software for real-time sports data products, requiring skills in programming languages like Python or Java, and expertise in Kubernetes and Docker.
You will work in a collaborative environment that values innovation and offers a competitive benefits package tailored to the UK location.
Senior Software Engineer - Real-Time Data Pipelines in London employer: Txodds
As a leading global sports betting technology provider based in London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our competitive benefits package is designed to support your well-being and professional growth, while the dynamic environment of the sports tech industry offers unique opportunities for career advancement and skill development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Real-Time Data Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech industry, especially those working with real-time data. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got projects or contributions on GitHub, make sure to highlight them. We love seeing practical examples of your coding prowess, especially in Python or Java.
✨Tip Number 3
Prepare for technical interviews by brushing up on Kubernetes and Docker. We want to see how you tackle real-world problems, so practice coding challenges and system design questions related to data pipelines.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who are eager to innovate in the sports betting tech space.
We think you need these skills to ace Senior Software Engineer - Real-Time Data Pipelines in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python or Java, as well as your expertise in Kubernetes and Docker. 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 real-time data products and how you can contribute to our Data Acquisition team. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaborative Spirit:Since we value collaboration, mention any experiences where you’ve worked in a team setting. Highlight how you’ve contributed to group projects or how you’ve helped foster innovation within your team. We’re all about teamwork here!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Txodds
✨Know Your Tech Stack
Make sure you brush up on your Python or Java skills before the interview. Be ready to discuss your experience with real-time data products and how you've used Kubernetes and Docker in past projects. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about specific problems you've solved in your previous roles, especially those related to data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your innovative thinking.
✨Emphasise Collaboration
Since you'll be working in a collaborative environment, be ready to discuss how you've worked with teams in the past. Share examples of how you’ve contributed to team success and how you handle feedback. This will demonstrate that you value teamwork and can thrive in a dynamic setting.
✨Research the Company Culture
Take some time to understand the company’s values and culture. Look into their approach to innovation and how they support their employees. Being able to align your personal values with theirs will not only impress them but also help you determine if it’s the right fit for you.
