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Java Full Stack Engineer
Job in
Glasgow, Glasgow City Area, G32 0, Scotland, UK
Listed on 2026-02-24
Listing for:
DABSTER SYSTEMS UK LIMITED
Full Time
position Listed on 2026-02-24
Job specializations:
-
Software Development
Data Engineer
Job Description & How to Apply Below
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 OverviewThe 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, Dev Ops, 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)
- Java, Python
- Spring Boot 3.x, Hibernate, JPA
- Microservices architecture
- REST APIs, Spring MVC, Spring Cloud
- Apache Kafka
- MySQL, SQL Server, Oracle
- Mongo
DB (No
SQL) - Snowflake
- ETL and Data Analytics concepts
- Docker, Kubernetes (Open Shift)
- Jenkins, CI/CD pipelines
- Azure or AWS (S3 - basic knowledge)
- Git, Maven, Gradle
- Sonar Qube, Checkstyle, Spotless
- Git Lab / Bitbucket
- Swagger, Postman
- Jira, Confluence
- Git Hub Copilot
- Datadog, New Relic
- Sonar Qube, Aqua Scan, Checkmarx
- Elastic Search
- 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, No
SQL, 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 Git Hub Copilot to enhance development productivity
- 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
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