At a Glance
- Tasks: Design and build Kafka-based streaming pipelines and Spark processing jobs.
- Company: Join United Cerebral Palsy of Georgia, a leader in innovative data solutions.
- Benefits: Enjoy hybrid working, competitive pay, and a 12-month contract.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make an impact in real-time data processing within a global investment bank.
- Qualifications: Strong experience in real-time data processing and distributed systems required.
The predicted salary is between 60000 - 80000 £ per year.
United Cerebral Palsy of Georgia is seeking a Senior Software Engineer - Real-Time Data to join their team in Chester. This role involves designing and building Kafka-based streaming pipelines and Spark processing jobs, focusing on delivering low-latency, high-throughput systems.
The ideal candidate will have strong hands-on experience with real-time data processing, a solid understanding of distributed systems, and a background in software engineering best practices.
The position offers hybrid working in a 12-month contract within a global investment bank.
Senior Real-Time Data Engineer (Kafka/Spark) in Chester employer: United Cerebral Palsy of Georgia
United Cerebral Palsy of Georgia is an exceptional employer that values innovation and collaboration, providing a dynamic work environment in Chester. Employees benefit from a hybrid working model, competitive compensation, and opportunities for professional growth within a supportive culture that prioritises meaningful contributions to the community. Join us to be part of a team that not only drives technological advancements but also makes a positive impact on lives.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Real-Time Data Engineer (Kafka/Spark) in Chester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Kafka and Spark. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your real-time data projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and demonstrate your expertise in low-latency systems.
✨Tip Number 3
Prepare for technical interviews by brushing up on distributed systems concepts. We all know they love to test your knowledge, so practice coding challenges and be ready to discuss your past experiences with real-time data processing.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Senior Real-Time Data Engineer (Kafka/Spark) in Chester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with Kafka and Spark in your application. We want to see how you've tackled real-time data processing challenges in the past!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior Real-Time Data Engineer role. We love seeing how you align with our needs.
Keep It Clear and Concise:When writing your application, be clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience.
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!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Tech Inside Out
Make sure you brush up on your Kafka and Spark knowledge. Be ready to discuss how you've designed and built streaming pipelines in the past. Prepare specific examples of projects where you delivered low-latency, high-throughput systems.
✨Understand Distributed Systems
Since this role requires a solid understanding of distributed systems, be prepared to explain key concepts and how they apply to real-time data processing. Think about challenges you've faced in previous roles and how you overcame them.
✨Showcase Best Practices
Highlight your experience with software engineering best practices during the interview. Discuss how you ensure code quality, maintainability, and scalability in your projects. This will show that you’re not just a coder but a well-rounded engineer.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and challenges. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to demonstrate your knowledge of the industry.
