Data Modeller (1 Year Contract)

Job Purpose

To design and maintain data models/structures at both enterprise and system / application level . To persist data in an efficient and structured way to enable the value of the date to be unlocked . To create appropriate data and class structures that enable the flow of data between providers and consumers.

Job Responsibilities

• 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 Nedbank 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.
• Contribute to the creation of a comprehensive governed framework by working with the data modelling CoE and contributing towards defining the data modelling standards.
• Advise stakeholders on application of data modelling practices through consultation.
• Perform peer review on work performed by other team members
• Identify opportunities to improve or enhance processes
• Provide Overall Data Management Guidance and alignment to Nedbank’s 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
• Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.).
• Participate and support corporate responsibility initiatives for the achievement of business strategy

Preferred Qualification

• Bachelor of Commerce , Bachelor of Science: Information Systems / Computer Science

Essential Certifications

• TOGAF, DAMA

Minimum Experience Level

• 3yrs IT related experience with 2yrs+ in a Data Modelling role

• Able to demonstrate practical experience in relational and dimensional modelling techniques, OO modelling experience also an advantage
• Exprience using Infosphere Data Architect or any other Data Modelling Tool
• Experience with industry models such as IFW BFMDW
• Broad 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

Technical / Professional Knowledge

• Data analysis and inference - Intermediate Data Architecture Management - Basic
• Data Integrity - Intermediate Data Integration - Basic
• Data Modelling - Intermediate Industry Model Understanding - Intermediate
• Data Warehouse Layers - Intermediate Pattern Recognition, conceptual and abstract thinking - Intermediate
• Metadata - Intermediate Agile Concepts
• Data Quality - Intermediate Banking Product Knpwledge
• Data Warehousing Overview and Architecture - Intermediate DevOps Tooling and methodologies
• Database Model Concepts - Intermediate Presenting - Intermediate
• Using SQL in Databases - Basic Problem solving and creativity - Intermediate
• Data and business requirements Gathering - Intermediate Language skills - Intermediate
• Data Modelling Tools - Intermediate
• Master and Reference Data Management - Basic
• Data Governance - Basic
• Data Architecture Management - Basic
• Data Integration - Basic
• Industry Model Understanding - Intermediate
• Pattern Recognition, conceptual and abstract thinking - Intermediate
• Agile Concepts
• Banking Product Knpwledge
• DevOps Tooling and methodologies
• Presenting - Intermediate
• Problem solving and creativity - Intermediate
• Language skills - Intermediate

Behavoural Knowledge

• Work Standards
• Communication
• Decision Making
• Initiating Action
• Collaboration

Apply directly on site or send CVs to . 

Please note that qualifying candidates will be contacted within two weeks.  If you have not been contacted, your CV will be placed in our database for future positions.