Data Engineer – ERP / EPM Cloud Transformation, Pretoria

Our client, a leading organisation within the financial services industry, is seeking an experienced Data Engineer to join their team on an 18-month contract. This role forms part of a strategic, multi-year transformation programme aimed at modernising the organisation’s back-office capabilities, with a specific focus on supporting the ERP Roadmap and EPM Cloud Solution Project.

The successful candidate will play a key role in improving data management maturity across the organisation by providing technical data engineering support, enabling trusted and well-governed data, and supporting reliable decision-making, responsible data usage, and appropriate protection of critical business information.

Minimum Requirements

• Bachelor’s 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