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Senior Software Engineer - Kafka/Spark

CV-Library

Posted on May 19, 2026 by CV-Library
Chester, Cheshire, United Kingdom
IT
Immediate Start
Annual Salary
Contract/Project
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

Reference: 225128579

https://jobs.careeraddict.com/post/113254143
CV-Library

Senior Software Engineer - Kafka/Spark

CV-Library

Posted on May 19, 2026 by CV-Library

Print
Chester, Cheshire, United Kingdom
IT
Immediate Start
Annual Salary
Contract/Project
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
Print

Reference: 225128579

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