We are looking for a Backend Java Software Developer to join our Smart Data Ecosystem program and strengthen the core data store team as soon as possible.
This role is strictly focused on backend software development, with a strong emphasis on building scalable Java-based services to replace legacy monolithic solution and contribute to the development of a modern solution based on microservices utilizing the cloud platform.
This role reports to Head of Service Management & Application Development.
Context
This role will be reporting to the Head of Service Management & Application Development, in the Technology Department.
Objective
The objective of this role is to actively:
Contribute to the transformation of the organisation’s central transactional data store by migrating existing monolithic solution into robust, maintainable, and scalable Java backend microservices, and/or
Focused on backend software engineering, with a strong emphasis on building scalable Java- based services to replace legacy Oracle data contracts and contribute to the development of modern data products aligned with Open Data Product standards.
The developer will play a key role in building the Smart Data Ecosystem by delivering production-grade microservices, based on modern software engineering standards.
Key responsibilities
Develop, maintain and operate Java-based backend microservices
Refactor and migrate monolithic central data store into Java microservices
Build RESTful APIs and microservices for data access and integration
Implement domain-driven, data-centric microservices
Ensure performance, scalability, and reliability of backend systems
Integrate with event streaming platforms (Kafka) when applicable
Contribute to CI/CD pipelines (GitLab) and DevOps practices
Deploy and operate services in cloud environments (Azure)
Apply modern software engineering best practices (testing, code quality, versioning)
Collaborate with data engineers, architects, and data product owners
Leverage AI-assisted coding tools (e.g. Claude, GitHub Copilot) to improve development efficiency and code quality
Tech stack
Languages & Frameworks: Java (21+), Spring Boot / Spring Framework
CI/CD & DevOps: GitLab (repositories, pipelines, CI/CD)
Cloud Platform: Microsoft Azure
Data & Databases: Oracle (legacy), PostgreSQL, SQL
Streaming & Integration: Kafka
Containerisation: Kubernetes , Docker
AI-assisted development: Claude or equivalent tools
Ideal profile
Education: Master’s degree in Computer Science, Software Engineering, or equivalent experience Experience
Minimum 3–5 years of experience in Java backend development
Experience in building enterprise-grade backend systems and APIs
Experience in modernising legacy systems (especially data-centric architectures)
Experience working in event-driven platform environments
Experience with cloud-native development (Azure preferred)
Skills
Backend Engineering (Core requirement)
Expertise in Java and Spring Boot
Good understanding of microservices architecture
Proven experience with REST API design and implementation
Data & Migration
Knowledge of Domain Driven Design and hexagonal architecture.
Knowledge of database design and normalization.
Understanding of data models, contracts, and data flows
Experience with PostgreSQL
Platform & DevOps
Hands-on experience with GitLab CI/CD pipelines
Experience deploying and operating services in Azure
Familiarity with Docker and container-based deployment in Kubernetes
Event-driven & Integration
Experience (or strong understanding) of Kafka / event streaming architectures
Engineering Excellence
Strong focus on clean code, testing, and maintainability
Experience with unit testing and integration testing frameworks
Solid understanding of Agile / Scrum methodologies
Modern Development Practices
Experience using AI-assisted coding tools (e.g. Claude, Copilot) as part of the development workflow
Ability to integrate AI tools in a secure, efficient, and controlled engineering process
Excellent English communication skills, both verbal and written.
Soft Skills
Curious about the full solution lifecycle (Business Requirement -> Architecture -> Implementation -> Test (including manual test) -> Operate
Ownership and accountability
Pragmatic and solution-oriented mindset
Ability to work hands-on, independently with guidance from tech lead/senior developer
Comfortable working in a transformational environment with evolving standards
Team player with strong collaboration skills.
Sees necessary documentation as a habit.
Quality-driven and detail-oriented.
Nice-to-haves
Knowledge of API governance and data governance frameworks
Experience in international or distributed teams.
