At a Glance
- Tasks: Design and build real-time data platforms using Kafka and Spark.
- Company: Join a leading global investment bank with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and a chance to work on impactful projects.
- Other info: Great opportunity for career growth in a dynamic, engineering-led team.
- Why this job: Tackle complex data challenges and make a difference in a regulated environment.
- Qualifications: Hands-on experience with Kafka, Spark, and distributed systems required.
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
- Background in software engineering best practices (testing, CI/CD, clean code)
Nice to Have
- Experience in banking, compliance, or regulated environments
- Exposure to high-volume transactional or voice data systems
Senior Software Engineer - Kafka/Spark in Chester employer: Adecco
As a leading global investment bank, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our Chester location offers a hybrid working model, providing flexibility while being part of a team dedicated to solving complex data challenges in a highly regulated environment. With ample opportunities for professional growth and development, we are committed to supporting our employees in achieving their career aspirations while contributing to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Kafka/Spark in Chester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Kafka or 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 projects related to real-time data processing. This could be anything from GitHub repos to case studies. It’s a great way to demonstrate your hands-on experience and problem-solving abilities.
✨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 distributed systems. We want you to feel confident and ready to tackle any question thrown your way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Senior Software Engineer - Kafka/Spark in Chester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on 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 background aligns with our needs. Keep it engaging and relevant!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've solved complex data challenges in the past. We love seeing your thought process and the impact of your solutions, especially in regulated environments.
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 with us!
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 how you've built real-time data pipelines in the past, and be prepared to dive into the nitty-gritty of distributed systems and low-latency processing.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data challenges you've tackled before. Think about specific scenarios where you designed solutions for scalability or performance issues, as this will demonstrate your hands-on experience and analytical thinking.
✨Understand the Regulatory Landscape
Since this role is in a highly regulated environment, it’s crucial to show that you understand compliance requirements. Familiarise yourself with relevant regulations and be ready to discuss how you've ensured compliance in your previous projects.
✨Practice Clean Code and Best Practices
Be ready to talk about software engineering best practices, including testing and CI/CD. You might even be asked to write some code during the interview, so practice writing clean, efficient code that adheres to industry standards.
