Dabster Systems UK Limited

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