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Data Modeler - Pretoria

Detailed description
The successful candidate will, among other duties, be responsible for the following key performance areas:
  • Lead modelling design, implementation, and documentation of ISO20022 data modelling solutions which include but not limited to the use of relational, dimensional and NoSQL databases.
  • Conduct an assessment on ISO 20022 data modelling and data development maturity levels within the company against best practices.
  • Develop standards, guidelines, processes, procedures and promote ISO 20022 data modelling awareness across the organisation to ensure appropriate translation and specification of business information requirements.
  • Align and develop company Data Reference model (conceptual, logical, physical models, data flow, data catalogue, business glossary, metadata, and Master Data Management models)
  • Lead and perform oversight on the improvement of ISO 20022 data modelling capability.
  • Collaborate with other SMEs on plans for data security, backup, disaster recovery, business continuity and archiving.
  • Promote and align data strategy and data management practices in line with applicable regulatory compliance, industry policies and standards.
  • Provide mentorship and guidance to other data management specialist.
  • To develop and manage stakeholder relations effectively to promote data modelling awareness across the organisation and support reliable decision making.
  • To assist with development of data pipelines, data analysis and data testing.
  • To support the data management team in resolving data development issues.
To assist the data management team with relevant data management projects
Job requirements
  • A minimum of bachelors degree in computer science, Computer Engineering, Management Information Systems OR any other relevant qualification
  • A relevant data modelling certification (e.g. CDMP) would be an added advantage.
  • A minimum of 5 - 8 years experience in the field of data management with 5 years as a Data Modeller.
Additional requirements include:
  • Industry, organisational and business awareness knowledge
  • Payment systems knowledge (e.g. SWIFT, ISO 20022)
  • Data architecture knowledge
  • Data architecture skills
  • Data modelling and development knowledge
  • Data modelling and development skills
  • Quality assurance skills
  • EIM strategy skills
  • EIM planning knowledge.
Behavioural competencies:
  • Analysis and problem solving
  • Effective communication
  • Planning and organising
  • Service and stakeholder focus
  • Conceptual thinking
  • Innovation and creativity
  • Drive for results
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