Senior Data Modeler (ID: 4039)

As a Senior Data Modeler, you will:

• Create and maintain comprehensive conceptual, logical, and physical data models for Markets data, including data attributes, relationships, and flows.

• Design and optimize data structures and databases for efficient Markets data storage and retrieval in collaboration with IT Architects.

• Work closely with DevOps engineers to define data-platform requirements and implement and validate data models.

• Collaborate with Product Owners and Agile teams to translate business requirements into Product Backlog Items.

• Define and maintain data lineage, metadata, data mappings, and modelling documentation.

• Act as a Data Modelling and Markets Data SME, supporting data sourcing, integration, distribution, and utilization.

• Ensure data accuracy, consistency, availability, and adherence to established data governance policies and procedures.

What You Bring to the Table:

• 6-8 years of overall professional experience in Data Modelling, Data Analysis, or Business Analysis.

• Proven experience in conceptual, logical, and physical data modelling.

• Strong experience in banking, financial services, and preferably Capital Markets / Markets Data.

• Good understanding of financial market products and processes.

• Strong knowledge of data governance, data lineage, metadata, and data management practices.

• Hands-on experience with data modelling tools such as Erwin and Enterprise Architect.

• Strong SQL skills for data querying and analysis.

• General understanding of IT concepts and technical environments.

• Familiarity with regulatory requirements related to data is an advantage.

You Should Possess the Ability to:

• Analyse complex data requirements and translate them into effective data models.

• Perform data mapping and identify relationships, dependencies, and data flows across Markets systems.

• Collaborate effectively with Product Owners, IT Architects, DevOps engineers, developers, and business stakeholders.

• Apply strong analytical and detail-oriented thinking to data modelling and analysis.

• Adapt to evolving data requirements and industry changes.

• Communicate complex data concepts clearly to both technical and business stakeholders.

• Handle sensitive financial data with appropriate ethical judgment and responsibility.

• Work effectively in an Agile environment and contribute to continuous data-model improvements.

What We Bring to the Table:

• Opportunity to work on complex Markets and Capital Markets data initiatives.

• Exposure to enterprise-scale data modelling, governance, integration, and data-platform projects.

• Collaboration with experienced business, architecture, DevOps, and data teams.

• An environment focused on data quality, governance, modelling standards, and continuous improvement.