Senior Data Platform Engineer – DevOps (Java/Data Streaming/Python)

Summary: The Senior Data Platform Engineer – DevOps role focuses on designing and developing scalable backend services and data platforms using Java and Python. The position requires expertise in building microservices, implementing event-driven architectures, and applying DevOps best practices. The role is based in Glasgow, UK, with a hybrid working arrangement of 2-3 days onsite. Collaboration with cross-functional teams is essential for ensuring production stability and performance improvements.

Key Responsibilities:

• Design and develop scalable backend services and data platforms using Java (Spring Boot) and/or Python
• Build and maintain microservices and REST APIs ensuring high performance, resilience, and scalability
• Implement event-driven architectures and real-time data streaming solutions using Apache Kafka
• Develop data integration, transformation, and persistence layers with MongoDB and other data stores
• Apply DevOps best practices including CI/CD, automated testing, and containerization (Docker/Kubernetes)
• Collaborate with cross-functional teams on architecture, code reviews, and production stability improvements

Key Skills:

• Java
• Spring Boot
• Python
• Microservices
• Apache Kafka
• Data Streaming
• Event Driven Architecture
• MongoDB
• REST API
• CI/CD
• Docker
• Kubernetes
• DevOps

Salary (Rate): undetermined

City: Glasgow

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT