Are you a motivated and skilled Data Modeller ready to design, develop, and maintain cutting-edge data models for cloud-based platforms? Join our dynamic team and help shape high-quality data structures that drive impactful solutions for business needs.

Key ResponsibilitiesData Modelling and Standards:

• Develop and apply data modelling and design standards, tools, and best practices.
• Collaborate with data architects to design databases using conceptual and logical models.
• Build and implement RDBMS, ODS, data marts, and data lakes on target platforms (SQL/NoSQL).
• Align data models with business requirements and architecture frameworks.
• Maintain and enhance the Enterprise Logical Data Model to ensure consistency across efforts.

Data Analysis and Mapping:

• Translate business requirements into data requirements through collaboration with stakeholders.
• Profile source data to assess quality, relationships, patterns, and rules.
• Design and document data requirements, including ERD and dimensional models.
• Identify authoritative data sources and address data quality gaps.
• Generate physical data models to optimize database structures.

Data Flow and Standards Compliance:

• Document data flows across systems and interfaces for clarity.
• Enforce standards for document naming, security, and lifecycle management.
• Identify and implement data-driven improvements in business processes.

Qualifications

• Bachelor’s degree in IT, Engineering, or Business Analysis-related fields.
• AWS Certified Cloud Practitioner or equivalent certification (advantageous).

Minimum Requirements

• Minimum of 7+ years of relevant data modelling experience.
• Proficiency in tools like Sparx Enterprise Architect, Erwin, SAP Power Designer, or similar.
• Expertise in Entity Relationship Modelling, Physical Database Design, Data Warehousing, and Data Integration.
• Strong understanding of Master Data Management, Metadata, and database concepts.
• Familiarity with data normalisation, relational and dimensional modelling principles.
• Knowledge of Data Management (DMBOK), SDLC, and IT architecture.

Ideal Experience and Skills

• Experience in Canonical Data Modelling.
• Background in banking or financial services environments.
• Proficiency in BI tools and database optimisation.
• Ability to communicate complex technical ideas to diverse audiences.
• Experience with semi-structured databases is a plus.

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"If you have not heard from us in two weeks, please note that you were unsuccessful for the role. However, we will keep your resume on file and reach out if any other suitable opportunity arises in the future".