At a Glance
- Tasks: Design and build high-performance Kafka streaming pipelines and Spark processing jobs.
- Company: Join a leading global investment bank with a focus on innovation.
- Benefits: Enjoy hybrid working, competitive pay, and a dynamic work environment.
- Other info: 12-month contract with excellent career growth opportunities.
- Why this job: Tackle complex data challenges and make a real impact in a regulated industry.
- Qualifications: Strong experience with Kafka and Spark, plus a solid grasp of distributed systems.
The predicted salary is between 60000 - 80000 € per year.
A leading global investment bank is looking for a hands-on Senior Engineer to build high-performance, Real Time data platforms supporting regulatory compliance across global operations. This is a fully engineering-led role focused on streaming, distributed systems, and low-latency processing, ideal for someone who enjoys solving complex data challenges at scale.
What You'll Do
- Design and build Kafka-based streaming pipelines and Spark processing jobs
- Develop low-latency, high throughput systems handling large-scale datasets
- Create data matching and reconciliation solutions across multiple sources
- Work on event-driven architectures with a focus on performance, accuracy, and reliability
- Contribute to production grade systems in a highly regulated environment
What We're Looking For
- Strong hands-on experience with Kafka and Spark
- Experience building Real Time or near Real Time data pipelines
- Solid understanding of distributed systems, scalability, and data processing
Senior Software Engineer - Kafka/Spark employer: Adecco
Join a leading global investment bank that prioritises innovation and excellence in technology. With a strong focus on employee development, you will have access to cutting-edge projects and the opportunity to work alongside industry experts in a collaborative and dynamic environment. Enjoy the benefits of hybrid working in Chester, where a vibrant culture and commitment to regulatory compliance create a meaningful and rewarding workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Kafka/Spark
✨Tip Number 1
Network like a pro! Reach out to your connections 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 or GitHub repository showcasing your projects related to real-time data processing. 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 Kafka and Spark knowledge. Practice coding challenges and system design questions that focus on low-latency processing and distributed systems. We want you to feel confident when it’s showtime!
✨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 the initiative to connect directly with us.
We think you need these skills to ace Senior Software Engineer - Kafka/Spark
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Kafka and Spark. We want to see how you've tackled real-time data challenges, so don’t hold back on those specific projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about building high-performance data platforms and how your skills align with our needs. Keep it engaging and relevant!
Showcase Your Problem-Solving Skills:In your application, share examples of complex data challenges you've solved. We love seeing how you approach problems, especially in distributed systems and low-latency processing.
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!
How to prepare for a job interview at Adecco
✨Know Your Tech Inside Out
Make sure you brush up on your Kafka and Spark knowledge. Be ready to discuss your hands-on experience with these technologies, including specific projects you've worked on. Prepare to explain how you've built real-time data pipelines and the challenges you faced.
✨Showcase Problem-Solving Skills
Since this role involves solving complex data challenges, think of examples where you've tackled tough problems in distributed systems or low-latency processing. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.
✨Understand the Business Context
Familiarise yourself with the global investment banking sector and the importance of regulatory compliance. Being able to connect your technical skills to business needs will show that you understand the bigger picture and can contribute effectively.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and the technologies they use. This not only shows your interest but also helps you gauge if the company is the right fit for you.
