Main Purpose:
This is an exciting opportunity for a highly skilled Senior Full Stack Developer to join our Trading IT organisation as part of our Reference & Master Data system rewrite project. The candidate will be responsible for designing and implementing both frontend and backend components of our next-generation master data management platform. This role demands expertise across the entire technology stack, with a focus on React for frontend development and Java for backend services.
A good understanding of the commodity trading business is advantageous, as you’ll be working with critical reference data that underpins all trading operations. You will collaborate closely with business stakeholders, data stewards, and other development teams to ensure that the new system meets the complex needs of a global trading organisation.
This is an excellent opportunity to make a significant impact by building a critical system from the ground up, implementing modern architecture patterns and technologies that will support Trafigura’s data strategy for years to come. Our commitment to technical excellence drives us to seek individuals who are passionate about creating intuitive user interfaces and robust data services that will serve as the backbone for Trafigura’s trading operations.

Knowledge Skills and Abilities, Key Responsibilities:

• Frontend Expertise: Strong proficiency in React, JavaScript/TypeScript, HTML5, and CSS3 for building responsive and interactive user interfaces.
• Java Backend Expertise: Strong proficiency in Java development, including Spring Framework, Spring Boot, and JVM optimisation techniques for high-performance applications.
• Database Management: Proficiency with both relational databases (Oracle, PostgreSQL) and NoSQL solutions, with strong SQL skills and data modelling capabilities.
• API Development: Strong capabilities in designing and implementing RESTful APIs with a focus on security, performance, and usability.
• Master Data Concepts: Understanding of master data management principles, data governance, and reference data modelling best practices.
• UI/UX Design: Knowledge of user experience design principles and ability to create intuitive interfaces for complex data management tasks.
• Performance Engineering: Ability to design, implement, and optimise high-performance web applications and data services.
• Problem-Solving Skills: Exceptional analytical and troubleshooting abilities, particularly for complex data and application issues.
• DevOps Practices: Understanding of CI/CD pipelines, including containerisation and orchestration.
• Communication Skills: Excellent verbal and written communication with the ability to translate complex technical concepts to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively with cross-functional teams, including business analysts, data stewards, and other developers.
• Cloud Technologies: Proficiency with cloud-native services and patterns across major platforms (AWS, Azure, GCP), including serverless functions and managed database services.
• AI Engineering: Basic understanding and interest in integrating AI capabilities for data quality, matching, and enrichment within master data management systems.
• Adaptability: Willingness to learn new technologies and approaches to solve evolving data management challenges in a dynamic trading environment.

Experience:

• Development Experience: Minimum of 8 years of hands-on full stack development experience, with at least 3 years working on data-intensive applications.
• React Experience: At least 3 years of experience developing applications with React and modern JavaScript frameworks
• Java Experience: At least 4 years of experience in Java backend development, including Spring Framework.
• Project Experience: Previous involvement in system rewrites or greenfield/migration development projects, preferably in financial or trading environments.
• Master Data Experience: Experience with reference data or master data management systems is highly advantageous.
• Industry Experience: Experience in commodities trading, financial services, or related industries is preferred.
• Educational Background: Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
• Certifications: Relevant certifications in modern web technologies, cloud platforms, or data management are beneficial but not required.

Key Responsibilities:

• Full Stack Development: Design and implement both frontend and backend components of the new reference data management system, ensuring seamless integration between layers.
• User Interface Design: Create intuitive, responsive, and efficient user interfaces using React that enables business users to manage complex reference data with ease.
• Backend Service Development: Build robust Java-based backend services that provide secure and performant access to reference data.
• API Development: Design and implement RESTful and GraphQL APIs that will serve reference data to numerous consuming applications across the trading ecosystem.
• Data Modelling: Collaborate with data architects to implement optimal data models that support complex reference data relationships and hierarchies.
• Performance Optimisation: Design and implement high-performance solutions for data access, caching, and retrieval to support trading operations.
• Quality Assurance: Develop comprehensive test strategies including unit tests, integration tests, and end-to-end tests to ensure system reliability.
• Documentation: Create and maintain technical documentation for system architecture, APIs, and operational procedures.
• Agile Practices: Work within an agile development methodology, participating in sprint planning, daily stand-ups, and retrospectives.
• Continuous Improvement: Identify opportunities to enhance system capabilities, reduce technical debt, and adopt emerging technologies.

Key Relationships and Department Overview:
Department and Team
Trafigura’s Trading IT group seeks to drive innovation through technology, leveraging cloud and on-prem architectures and modern development practices to support Trafigura’s trading business. The Reference & Master Data engineering team is responsible for maintaining the foundation of Trafigura’s data ecosystem, ensuring that all trading applications operate with consistent, accurate, and reliable reference information in a performant and secure way.
The Reference & Master Data engineering team manages the single source of truth for critical business entities including counterparties, commodities, vessels, and other essential trading reference data. This team is embarking on a complete system rewrite initiative to modernise the master data management platform, leveraging established and cutting-edge technologies and best practices to enhance data quality, accessibility, and governance.
Working at the intersection of business requirements and technical implementation, the Reference & Master Data Team delivers solutions that provide trusted reference information to all trading systems. The team balances tactical data management needs with strategic data governance vision, ensuring that solutions are both immediately effective and sustainable for the future trading landscape.
Through their expertise in data modelling, API development, and user interface design, the team enables Trafigura to maintain data consistency and integrity across its global operations, supporting the company’s continued growth and digital transformation initiatives.
Equal Opportunity Employer
We are an Equal Opportunity Employer and take pride in a diverse workforce. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status

Knowledge Skills and Abilities, Key Responsibilities:

• Frontend Expertise: Strong proficiency in React, JavaScript/TypeScript, HTML5, and CSS3 for building responsive and interactive user interfaces.
• Java Backend Expertise: Strong proficiency in Java development, including Spring Framework, Spring Boot, and JVM optimisation techniques for high-performance applications.
• Database Management: Proficiency with both relational databases (Oracle, PostgreSQL) and NoSQL solutions, with strong SQL skills and data modelling capabilities.
• API Development: Strong capabilities in designing and implementing RESTful APIs with a focus on security, performance, and usability.
• Master Data Concepts: Understanding of master data management principles, data governance, and reference data modelling best practices.
• UI/UX Design: Knowledge of user experience design principles and ability to create intuitive interfaces for complex data management tasks.
• Performance Engineering: Ability to design, implement, and optimise high-performance web applications and data services.
• Problem-Solving Skills: Exceptional analytical and troubleshooting abilities, particularly for complex data and application issues.
• DevOps Practices: Understanding of CI/CD pipelines, including containerisation and orchestration.
• Communication Skills: Excellent verbal and written communication with the ability to translate complex technical concepts to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively with cross-functional teams, including business analysts, data stewards, and other developers.
• Cloud Technologies: Proficiency with cloud-native services and patterns across major platforms (AWS, Azure, GCP), including serverless functions and managed database services.
• AI Engineering: Basic understanding and interest in integrating AI capabilities for data quality, matching, and enrichment within master data management systems.
• Adaptability: Willingness to learn new technologies and approaches to solve evolving data management challenges in a dynamic trading environment

Key Responsibilities:

• Full Stack Development: Design and implement both frontend and backend components of the new reference data management system, ensuring seamless integration between layers.
• User Interface Design: Create intuitive, responsive, and efficient user interfaces using React that enables business users to manage complex reference data with ease.
• Backend Service Development: Build robust Java-based backend services that provide secure and performant access to reference data.
• API Development: Design and implement RESTful and GraphQL APIs that will serve reference data to numerous consuming applications across the trading ecosystem.
• Data Modelling: Collaborate with data architects to implement optimal data models that support complex reference data relationships and hierarchies.
• Performance Optimisation: Design and implement high-performance solutions for data access, caching, and retrieval to support trading operations.
• Quality Assurance: Develop comprehensive test strategies including unit tests, integration tests, and end-to-end tests to ensure system reliability.
• Documentation: Create and maintain technical documentation for system architecture, APIs, and operational procedures.
• Agile Practices: Work within an agile development methodology, participating in sprint planning, daily stand-ups, and retrospectives.
• Continuous Improvement: Identify opportunities to enhance system capabilities, reduce technical debt, and adopt emerging technologies