London Data Engineer: Java, Kafka & Kubernetes

LA International; City Of London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

LA International is recruiting an experienced Data Engineer with strong Java skills to support a major technology programme in London. The role involves designing, building and maintaining scalable data solutions and services in a technical engineering environment.

Key responsibilities include developing Java-based applications, Kafka-based streaming solutions, Python data processing, and deploying in Kubernetes.

Qualifications

• Java hands-on development experience.
• Experience with Kafka-based messaging/streaming.
• Experience deploying/containerising with Kubernetes.
• Python-based data processing and automation.
• Strong software and data engineering fundamentals.

Responsibilities

• Design, develop and maintain scalable data engineering solutions and services.
• Develop robust applications and data-processing components using Java.
• Build and support event-driven and streaming solutions using Apache Kafka.
• Develop and maintain Python-based data processing, automation and integration solutions.
• Deploy and support applications and services within Kubernetes environments.
• Work with large datasets across distributed systems.
• Develop reliable data pipelines and integration services.
• Support data integration across applications and platforms.
• Troubleshoot issues across data pipelines, applications and infrastructure.
• Collaborate with software engineers, architects and DevOps teams.
• Contribute to technical design discussions and engineering best practices.
• Ensure scalability, security, and production readiness.

Skills

Java

Apache Kafka

Kubernetes

Python

Distributed Systems

Data Integration

Production Solutions

Troubleshooting

Agile

Stakeholder Communication

Docker

Tools

Docker

Job description

LA International is recruiting an experienced Data Engineer with strong Java skills to support a major technology programme in London. The role involves designing, building and maintaining scalable data solutions and services in a technical engineering environment.

Key responsibilities include developing Java-based applications, Kafka-based streaming solutions, Python data processing, and deploying in Kubernetes.