Java Full Stack Engineer - Data Analytics

Location: Glasgow, UK

Work Mode: Hybrid (Remote)

Job Type: Full-Time / Permanent

We are hiring a Java Full Stack Engineer with strong Data Analytics experience to join a dynamic technology team based in Glasgow. This is a hybrid role, offering the opportunity to work on modern, scalable systems using advanced Java, cloud, and data-driven technologies.

Role Overview

The ideal candidate will have strong hands-on experience in Java Full Stack development, modern frameworks, microservices architecture, and data analytics platforms. You will work closely with engineering, DevOps, and data teams to deliver high-quality, scalable solutions.

Mandatory Skills

• Java (7-17)
• Apache Kafka
• MongoDB
• Snowflake(If not Snowflake, strong Data Analytics experience is acceptable)*

Core Technical SkillsProgramming & Frameworks

• Java, Python
• Spring Boot 3.x, Hibernate, JPA
• Microservices architecture
• REST APIs, Spring MVC, Spring Cloud
• Apache Kafka

Databases & Data Platforms

• MySQL, SQL Server, Oracle
• MongoDB (NoSQL)
• Snowflake
• ETL and Data Analytics concepts

DevOps & Cloud

• Docker, Kubernetes (OpenShift)
• Jenkins, CI/CD pipelines
• Azure or AWS (S3 - basic knowledge)

Tools & Utilities

• Git, Maven, Gradle
• SonarQube, Checkstyle, Spotless
• GitLab / Bitbucket
• Swagger, Postman
• Jira, Confluence
• GitHub Copilot

Monitoring & Reporting

• Datadog, New Relic
• SonarQube, Aqua Scan, Checkmarx
• ElasticSearch

Key Responsibilities

• Design, develop, and maintain scalable full stack applications using Java (Spring Boot) and Python (FastAPI/Django)
• Build and consume RESTful APIs and microservices
• Work with Data Scientists to integrate ML models, predictive analytics, and NLP solutions into production systems
• Design and optimize schemas across SQL, NoSQL, and Snowflake databases
• Deploy and manage applications using AWS/Azure, Docker, and Kubernetes
• Build and maintain CI/CD pipelines ensuring high-quality and secure releases
• Leverage GitHub Copilot to enhance development productivity

Why Join?

• Work on modern data-driven and AI-enabled platforms
• Exposure to cloud, analytics, and ML integrations
• Hybrid working model
• Long-term career growth in a stable full-time role