Senior Software Engineer - Kafka/Spark
other jobs Adecco
Added before 6 Days
- England,North West,Cheshire,Cheshire West and Chester
- Full Time, Contract
- Salary negotiable
Job Description:
Senior Software Engineer - Real-Time Data (Kafka/Spark)
Chester | Hybrid working | 12-month contract | Inside IR35 | Global Investment Bank
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
Chester | Hybrid working | 12-month contract | Inside IR35 | Global Investment Bank
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
Job number 3762616
Increase your exposure to recruiters with ProJobs
Thousands of recruiters are looking for you in the Job Master profile database, increase your exposure 4 times with a ProJob subscription
You can cancel your subscription at any time.