Reference Data Specialist

The Reference Data Specialist will manage Vitol’s reference data across multiple systems, ensuring datasets are accurate, consistent and fit for use across applications and business processes.

Role responsibilities will span three adjacent areas:

1. Supporting system migrations and dataset harmonisation

• Provide cross-application mappings to unify datasets and manage application-specific edge cases.

• Clean, validate and prepare datasets before Master Data onboarding.

• Map data lineage and perform non-regression checks to protect existing application functionality.

• Design and run automated tests to support application onboarding and migration activities.

2. Ensuring reference data quality through monitoring and review

• Own Master Data-hosted reference datasets and resolve day-to-day support tickets promptly.

• Define validation rules and data quality controls across key datasets.

• Implement monitoring tools, exception reports and corrective actions.

• Identify recurring data issues and propose improvements to prevent reoccurrence.

3. Acting as the first point of contact for users and application owners

• Serve as a trusted partner for users, application owners and project teams on reference data matters.

• Triage and resolve support requests, clarifying requirements and coordinating fixes where needed.

• Support teams deploying Master Data into new or existing solutions.

• Provide guidance on data consumption, mappings and onboarding standards.

• 2+ years’ experience working with C# and related .NET technologies, preferably ASP.NET Core.

• Demonstrated ownership and responsiveness in a fast-paced environment.

• Proven experience in data management, with strong attention to detail.

• Ability to understand interlinked dependencies across systems and datasets.

• Ability to audit codebases including SQL, .NET, React and Python.

• Ability to develop and run non-regression and monitoring scripts in Python.

• Experience with CTRM systems and commodity trading workflows is a plus but not required.

The ideal candidate will have strong analytical skills, attention to detail and the ability to work across both business and technology teams. The candidate should be comfortable investigating data issues, understanding dependencies across systems, and translating business requirements into practical data management solutions.

Relevant experience may include:

• Reference data, master data or data governance experience.

• Experience supporting system migrations, application onboarding or data integration projects.

• Strong understanding of data quality principles and control frameworks.

• Ability to analyse datasets, identify inconsistencies and define remediation actions.

• Experience working with ticketing systems and production support processes.

• Familiarity with data mapping, lineage documentation and automated testing.

• Strong communication skills and the ability to engage with both technical and non-technical stakeholders.

• Proactive, structured and detail-oriented approach to problem solving.