Pretoria: Data Engineer – ERP / EPM Cloud Transformation

Minimum Requirements Bachelors degree in Computer Science, Information Management, Information Systems, Data Engineering, or an equivalent qualification 5 to 8 years experience in a data management, data engineering, data integration, or related technical data environment Strong experience in data migration, data pipeline development, data integration, ETL/ELT processes and data quality improvement Solid understanding of data modelling, metadata management, master and reference data management, data cataloguing, data lineage and data lifecycle principles Experience working with business stakeholders, technical teams and implementation partners Exposure to ERP, EPM Cloud, enterprise transformation projects, or financial services environments will be advantageous Duties and Responsibilities Data Migration and Project Delivery Lead and support the data migration workstream as part of the ERP Roadmap and EPM Cloud Solution Project Guide and facilitate activities and deliverables within the data migration workstream Facilitate review sessions with business stakeholders, implementation partners and technical teams Review and facilitate sign-off of data migration artefacts by all relevant stakeholders Provide technical input and support to ensure data migration deliverables are aligned with business, technical and governance requirements Data Engineering and Integration Design, develop, test and maintain robust, scalable and reusable data pipelines Develop data pipelines that are modular, deployable, reproducible, version-controlled and aligned to data engineering standards Develop and maintain data integration patterns, APIs, data exchange formats and integration protocols to support interoperability between systems Employ appropriate tools, technologies and programming languages to integrate data across multiple platforms and systems Monitor and optimise data pipelines to ensure reliable data availability, sustained performance and long-term scalability Data Quality, Governance and Management Recommend ways to improve data reliability, efficiency, quality and usability Support the implementation of data management capabilities, including data quality, metadata management, master and reference data management, data architecture, data modelling, data security, privacy, retention, cataloguing, lineage and analytics enablement Quality assure data pipeline implementations to ensure adherence to data engineering frameworks, standards and best practices Manage data growth patterns to support infrastructure planning, regulatory compliance, retention requirements and responsible data sharing Maintain accurate documentation for data pipelines, integration processes, interoperability requirements and technical data management activities Analytics and Business Enablement Prepare data for use in predictive and prescriptive modelling Develop data set processes for data modelling, mining and production Leverage internal and external data sources to support business analysis, reporting and decision-making Conduct research and data analysis to answer relevant industry and business questions Identify opportunities for data acquisition, data sharing and improved data usage across the organisation Stakeholder Engagement and Reporting Develop and manage effective stakeholder relationships to promote data management practices across the organisation Participate in cross-organisational initiatives relating to data management, data engineering and information management Provide regular progress reports in line with stakeholder requirements Present data management updates in relevant project, governance and operational forums