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 Skills Programming & 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