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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