Senior Data Engineer - Enterprise Data Management

University of Fort Hare; Pretoria; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

University of Fort Hare is seeking an experienced Senior Data Engineer to join an 18-month ERP and EPM Cloud transformation. The role focuses on data migration, pipeline development, data integration, and enterprise data governance within a large-scale programme.

The ideal candidate will have 5-8 years in data engineering, strong experience with data quality and metadata management, and the ability to collaborate across business and technology teams.

Qualifications

• Bachelor’s degree required in a relevant field.
• 5-8 years’ experience in data engineering, data integration or data management.
• Hands-on experience in designing enterprise data pipelines and data migration.
• Experience with ERP/EPM Cloud or similar enterprise transformation projects is advantageous.

Responsibilities

• Lead data migration workstreams within ERP Roadmap and EPM Cloud projects.
• Design, develop, test and maintain scalable data pipelines.
• Develop and maintain data integration patterns and APIs.
• Ensure data governance, quality, metadata management and lineage.
• Prepare data for predictive and prescriptive analytics and enable business decisions.
• Provide regular progress reports and engage stakeholders across the program.

Skills

Data migration

Data pipeline development

ETL/ELT processes

Data quality improvement

Data modelling

Metadata management

Data governance

Data cataloguing

Data lineage

Stakeholder engagement

Education

Bachelor’s degree in Computer Science or related

Job description

25 Sep 2026 - 2 Oct 2026

Contractor

JHB007340

Information Technology

Our client, a leading organisation within the financial services industry, is seeking an experienced Senior Data Engineer to join a strategic enterprise transformation programme on an 18-month contract.

The role will support the organisation’s ERP Roadmap and EPM Cloud Solution Project, with a strong focus on data migration, data integration, data pipeline development and enterprise data management. The successful candidate will combine hands-on technical data engineering expertise with the ability to work across business, technology and implementation teams to deliver trusted, reliable and well-governed data.

This opportunity will suit an experienced Data Engineer who is comfortable operating within a complex enterprise environment and contributing to both the technical delivery and broader data management requirements of a large-scale transformation programme.

Minimum Requirements

• Bachelor’s degree in Computer Science, Information Management, Information Systems, Data Engineering, or an equivalent qualification
• 5-8 years’ relevant experience within a data engineering, data integration or technical data management environment, including hands-on experience designing and implementing enterprise data pipelines and data migration solutions.
• 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 dataset 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