Senior BI Data Modeller
PBT Group
Johannesburg, South Africa
1m ago

PBT Group has an opportunity for a Senior Data Modeller to design and maintain optimal data models / structures at both an enterprise and system / application level that meet the business and architectural objectives of the organisation.

To create structures that enable data to be persisted in a structured way to enable the value of the data to be unlocked.

To create appropriate data and class structures that enable the flow of data between providers and consumers. Where required, lead a team of modellers performing this work.

The primary technology used is IDA (Infosphere Data Architect (Data Modelling Tool)) and Aginity Workbench DB2.

It will also be most beneficial to have knowledge of IGC (Infosphere Governance Catalogue).

Duties :

Design data models that meet the business requirements and align to the agreed architecture framework.

Ensure data modelling deliverables are delivered according to project plan and budget to meet commitment to stakeholders.

Ensure all data modelling activities and deliverables are aligned to the development methodology and to the data modelling principles and standards

Apply the approved tooling to create the data modelling deliverables.

Adopt the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage best practice and fast track data modelling efforts.

Translate business requirements into data requirements.

Analyse and profile the source data to understand data quality issues, relationships, patterns and rules in the data.

Structure data requirements into logical data constructs based on the Enterprise Data Model, including ERD models, dimensional models to ensure optimal implementation.

Compile Source to Target Mapping Specifications including the appropriate Transformation Rules

Identifying definitive or authoritative source of data; analysing source data; and identifying gaps to target structures

Enable physical implementation of the data structure by generating the first cut physical data model from the logical data model.

Facilitate dataflow understanding by collating dataflow diagrams outlining the flow of data across systems and interfaces.

Reduce non-value adding work by identifying opportunity for re-use of the Enterprise Data Model

  • Maintain up to date knowledge of latest developments in the Data Modelling domain, including reading; continuous professional development courses;
  • seminars and conferences.

    Assists to provide a comprehensive governed framework by working with the data modelling CoE and contributing towards defining the data modelling standards.

    Advise stakeholders and other staff on application of data modelling practices through consultation.

    Ensure consistency and re-use of data models by acting as a primary advocate of date modelling activities and methodologies and by driving the adoption of enterprise data modelling across the bank.

    Ensure improved performance by providing feedback on improvements to the data modelling framework.

    Perform review on work performed by team members as well as review and govern work performed by other modelling teams

    Identify opportunities to improve or enhance processes.

    Provide Overall Data Management Guidance and alignment to the Data Management framework and standards

    Seek opportunities to improve business processes, models and systems though agile thinking.

    Support the achievement of the business strategy, objectives and values

    Participate and support corporate responsibility initiatives for the achievement of business strategy

    Skills & Experience Required :

    5 8 years IT related experience with 5yrs+ in a Data Modelling role

    Able to demonstrate practical experience in relational and dimensional modelling techniques as well as leading teams of data modellers

    Has demonstratable experience in developing custom data models as well as data modelling utilising Industry data models such as IFW BFMDW

    Experience in model management

    Experience in compiling and monitoring standards and developing / maturing a data modelling practice

    OO modelling experience also an advantage

    Experience using Infosphere Data Architect or any other Data Modelling Tool

    Firm understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture

    Relevant regulatory knowledge, and understanding of banking and financial services

    Experience in NoSQL and other forms of database modelling advantageous

    Advanced knowledge of :

    Industry Model Understanding

    Pattern Recognition, conceptual and abstract thinking


    Problem solving and creativity

    Language skills

    Data analysis and inference

    Data Modelling -

    Data Warehouse Layers

    Data Quality

    Data Warehousing Overview and Architecture

    Database Model Concepts

    Data and business requirements Gathering

    Data Modelling Tools

    Intermediate knowledge of :

    Using SQL in Databases

    Agile Concepts

    Banking Product Knowledge

    Basic knowledge of : Data Governance

    Data Governance

    Data Architecture Management

    Data Integration

    DevOps Tooling and methodologies

    Master and Reference Data Management

    Qualifications / Certification :

    Advanced Diplomas / National 1st Degrees / equivalent NQF level 6 qualification

    Bachelor of Commerce, Bachelor of Science : Information Systems / Computer Science Honours level


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