Data Modeller

FirstRand Corporate Centre; Randburg; On-site; ZAR 200 000 - 300 000; Full time

Job summary

A leading financial institution is seeking a Data Modeller in Gauteng, Randburg. You will provide expertise in data modelling standards, develop logical and physical data models, and maintain business glossaries. The ideal candidate will have strong data analysis skills and be adept in managing data-related projects. This role presents opportunities for professional development and is essential for optimizing the organization’s information systems.

Qualifications

• Expertise in data modelling standards and principles.
• Experience in designing and developing logical and physical data models.
• Ability to maintain data dictionaries and business glossaries.

Responsibilities

• Execute data modelling standards and frameworks.
• Coordinate and prioritize data modelling within the business area.
• Maintain all model-related metadata and business rules.

Skills

Data modelling

Database management

Data analysis

Communication

Job description

Job title : Data Modeller

Job Location : Gauteng, Randburg

Deadline : November 27, 2025

Job Description

• To provide expertise, advice and support by executing data modelling standards, principles, frameworks and tools within area of accountability; under guidance and supervision designing and developing of logical and physical data models and databases to meet the needs of the organisation's information systems and business requirements; and coordinate and proritise data modelling within business area.
• Maintain the data dictionary internal and external to the data model.
• Maintain the business glossary internal and external to the data model.
• Optimize and update logical and physical data models to support new and existing projects.
• Ensure that the source to target mapping is done in accordance with the requirement.
• Maintain business rules within the data model. Maintain all model related metadata.
• Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
• Recommend opportunities for reuse of data models in new environments.
• Work with data transformation teams to ensure that the model design and development is properly communicated.
• Review modifications to existing data modelling software to improve efficiency and performance.
• Manage the flow of information between departments using the data model design.
• Assure transformation rules are maintained, accurate and consistent.
• Validate business data objects for accuracy and completeness.
• Evaluate data models and physical databases for variances and discrepancies.
• Control expenditure and identify process improvements to contain and reduce costs.
• Participate in planned activities that are appropriate for own development.
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