Based in Centurion with a generous hybrid working model. Description The Data Engineer will have a knack for data analysis, data manipulation and data modelling and will be responsible for understanding and Experience in data mining, large scale data modelling and business requirements gathering/analysis. Experience implementing data modelling methodologies like Dimensional Modeling and / or Data Vault. Working information to discover trends and patterns. Data Modelling (Relational and Star Schema). Database design
Based in Centurion with a generous hybrid working model. Description The Data Engineer will have a knack for data analysis, data manipulation and data modelling and will be responsible for understanding and Experience in data mining, large scale data modelling and business requirements gathering/analysis. Experience implementing data modelling methodologies like Dimensional Modeling and / or Data Vault. Working information to discover trends and patterns. Data Modelling (Relational and Star Schema). Database design
reporting
Job Purpose To develop and maintain best practice models and assessment strategies in line with regulations expectations by liaising with stakeholders through the model build process as well as the systems and strategy interacting with external bodies. The challenge model builds from around the cluster through peer review Seek opportunities to improve business processes; models and systems by identifying and recommending effective action where risk is identified in any processes; models or reporting; through analysis and formal communication
Model Development
Technical
Behaviour-Driven Development (BDD), Page Object Model (POM), Test-Driven Development (TDD), as well as within the context of an agile/DevOps delivery model Interpretation of Testing Results and logging and responsibilities assigned in the Agile Working Model (AWM) Charter Advantageous Skills Requirements: elicitation, documentation Business process modelling, data modelling IT Architecture: Cloud Architecture, On-prem/hybrid
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems Practical experience with Large Language Models (LLMs) Proficient in API integration and development Text-to-Speech (TTS), Speech-to-Text (STT), Large Language Models (LLMs), and integrating APIs Apply now For more
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems Practical experience with Large Language Models (LLMs) Proficient in API integration and development Text-to-Speech (TTS), Speech-to-Text (STT), Large Language Models (LLMs), and integrating APIs Apply now For more
solutions to support the current and future business model. Key Performance Areas:QualityOn-time Services
enterprise architecture frameworks and business process modeling.