Data Modeler

5 days ago

Cape Town, South Africa PBT Group Full time

We seek a motivated and skilled Data Modeller to join our dynamic team. This role involves designing, developing, and maintaining data models for cloud-based data platforms, primarily on AWS. The Data Modeller will play a critical role in shaping high-quality data structures that drive effective data solutions for business needs.

 

About the Client:
Our client is a leading IT company in the financial services sector, specialising in delivering innovative technology solutions on a global scale. With a strong focus on AWS, the company leverages cutting-edge cloud technologies to provide scalable, secure, and efficient data-driven solutions.

 

Key Responsibilities:

  • Data Modelling and Standards:
    • Apply data modelling and design standards, tools, and best practices.
    • Collaborate closely with data architects to design customised databases using conceptual and logical models.
    • Develop conceptual, logical, and physical data models; implement RDBMS, operational data stores (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
    • Ensure data models align with business requirements and architecture frameworks.
    • Utilise approved tools to create high-quality data modelling deliverables.
    • Maintain the Enterprise Logical Data Model as a standard to streamline data modelling efforts.
    • Oversee modelling activities to ensure consistency with the Enterprise Data Model (EDM).

 

  • Data Analysis and Mapping:
    • Collaborate with team members to translate business requirements into data requirements.
    • Profile source data to assess data quality, relationships, patterns, and rules.
    • Structure data requirements based on the Enterprise Data Model, including ERD and dimensional models.
    • Identify definitive data sources, analyse data quality, and address gaps.
    • Generate physical data models to enable efficient data structure implementation.

 

  • Data Flow and Standards Compliance:
    • Document data flows across systems and interfaces to facilitate data flow understanding.
    • Implement standards for document naming, security, and data lifecycle management.
    • Identify opportunities for data-driven improvements in business processes.

 

Behavioural Competencies:

  • Stakeholder Engagement: Collaboration, influencing, and effective communication.
  • Decision Making: Analytical mindset and strong problem-solving skills.
  • Action-Oriented: Results-focused, deadline-driven, with a commitment to excellence.
  • Intellectual Curiosity: Continuous learning, adaptability, and innovation.
  • Analytical Thinking: Meticulous attention to detail and output quality.
  • Team Player: Collaborative, supportive, and a strong communicator.
  • Personal Mastery: Lifelong learning and skill enhancement.

 

Qualifications:

  • Bachelor's degree in IT, Engineering, or Business Analysis-related fields.
  • AWS Certified Cloud Practitioner or similar certification is advantageous.

Minimum Requirements:

  • Proficiency in Data Modelling tools such as Sparx Enterprise Architect, Erwin, SAP Power Designer, ER/Studio, or IBM Data Architect.
  • Expertise in Entity Relationship Modelling, Physical Database Design, Data Warehousing, Data Integration, and Data Quality.
  • Strong understanding of Master Data Management, Metadata, and database concepts.
  • Knowledgeable in conceptual, logical, and physical data modelling principles.
  • Familiarity with data models, relational and dimensional modelling, and data normalisation.
  • Broad knowledge of Data Management (DMBOK), SDLC, and IT Architecture.

 

Ideal Experience and Skills:

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

 

Experience:

  • Minimum of 7+ years of relevant data modelling experience.

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