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- Tasks: Develop and maintain systems for real-time data delivery in a dynamic environment.
- Company: Leading betting solutions provider with ambitious growth plans.
- Benefits: Competitive salary, remote work, and excellent career development opportunities.
- Why this job: Join a collaborative team and make an impact in the exciting world of data.
- Qualifications: 5+ years experience in programming, with skills in Java or Scala, Kubernetes, and Docker.
- Other info: Remote role offering a chance to work on innovative projects.
The predicted salary is between 43200 - 72000 £ per year.
A leading betting solutions provider is looking for a Senior Software Engineer to enhance their Data Acquisition team. In this remote role, you will develop and maintain systems for real-time data delivery, ensure data accuracy, and support clients.
Ideal candidates have over 5 years of experience and expertise in programming languages like Java or Scala, alongside proficiency in Kubernetes and Docker.
Join a collaborative environment with ambitious growth plans and competitive benefits.
Senior Software Engineer, Real-Time Data (Remote Europe) employer: Txodds
Contact Detail:
Txodds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, Real-Time Data (Remote Europe)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving real-time data systems. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss your experience with Java, Scala, Kubernetes, and Docker.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Software Engineer, Real-Time Data (Remote Europe)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java or Scala, 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! Tell us why you’re excited about the role and how you can contribute to our Data Acquisition team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in real-time data delivery or ensured data accuracy. We’re looking for candidates who can think on their feet and come up with innovative solutions.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Txodds
✨Know Your Tech Stack
Make sure you brush up on your programming languages, especially Java and Scala. Be ready to discuss your experience with these technologies in detail, as well as how you've used Kubernetes and Docker in past projects.
✨Showcase Real-Time Data Experience
Prepare examples of how you've developed or maintained systems for real-time data delivery. Highlight any challenges you faced and how you ensured data accuracy, as this will be crucial for the role.
✨Collaborative Mindset
Since the company values a collaborative environment, think of instances where you've worked effectively in a team. Be ready to share how you contributed to group projects and supported your colleagues.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's growth plans and the Data Acquisition team's goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
