Senior Software Engineer - Real-Time Data Pipelines
Senior Software Engineer - Real-Time Data Pipelines

Senior Software Engineer - Real-Time Data Pipelines

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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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, including health perks.
  • Why this job: Join a collaborative team and innovate in the exciting world of sports data.
  • Qualifications: Proficient in Python or Java, with Kubernetes and Docker expertise.

The predicted salary is between 48000 - 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 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 Data Acquisition team offers unique opportunities to work with cutting-edge technologies in real-time data processing. Join us to be part of a forward-thinking company that values your contributions and invests in your future.
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Contact Detail:

Txodds Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Software Engineer - Real-Time Data Pipelines

✨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 lead to insider info about job openings or even a referral.

✨Tip Number 2

Show off your skills! Create a GitHub repository showcasing your projects, especially those involving Python, Java, Kubernetes, or Docker. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding real-time data pipelines. Practice common algorithms and system design questions to impress during the interview process.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Senior Software Engineer - Real-Time Data Pipelines

Python
Java
Kubernetes
Docker
Real-Time Data Processing
Software Development
Collaboration Skills
Innovation

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.

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 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 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 group 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.

Senior Software Engineer - Real-Time Data Pipelines
Txodds

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