Specialist: Data Engineer at South African Airways (SAA)

Job Purpose    

• The Specialist Data Engineer is responsible for designing, developing, maintaining and supporting the organisation’s data engineering solutions and data infrastructure. The role ensures the availability, reliability, quality and security of data required for operational systems, reporting, analytics and business decision-making. It supports effective data integration, data governance, automation and continuous improvement of the organisation’s data capabilities.

Principal Accountabilities    

• Design, develop and maintain reliable, scalable and secure data pipelines and data integration solutions
• Build and maintain data models, datasets and data stores supporting reporting, analytics and business intelligence
• Implement data quality, validation, reconciliation and monitoring processes to improve the accuracy, completeness and consistency of organisational data
• Support the design and implementation of cloud and/or on-premises data platforms, including data warehouses and data lakes
• Monitor data pipelines and integration jobs, investigate failures and implement corrective and preventative actions
• Apply data security, access control, privacy and data governance requirements in the design and operation of data solutions
• Automate data engineering processes and improve platform performance, scalability, reliability and cost effectiveness
• Participate in solution design, testing, deployment, change management and continuous improvement activities
• Maintain technical documentation covering data sources, data flows, data models, interfaces, dependencies and operational procedures
• Keep abreast of emerging data engineering technologies and recommend opportunities to improve the organisation's data capabilities

Qualifications & Experience    

• Relevant Bachelor's degree in Computer Science, Information Technology, Data Science, Data Engineering, Information Systems or a related field at NQF level 7
• Relevant data engineering, cloud, database or programming certifications will be advantageous
• 3 – 5 years' relevant experience in data engineering, data integration, database development or a closely related technology environment

Knowledge and Skills    

• Sound understanding of data engineering principles, data architecture and data lifecycle management
• Data quality and governance
• Data pipeline development and troubleshooting
• Technical documentation and reporting
• Data governance and data management principles
• Data security, privacy and access controls
• Data processing and automation techniques
• Strong analytical skills
• Problem-solving
• Attention to detail 

Attributes    

• Ability to work collaboratively with technical and non-technical stakeholders
• Ability to manage multiple priorities, meet deadlines and work effectively in a fast-paced environment
• Results orientation
• Accountability
• Adaptability
• Customer Service Orientation

Deadline:30th September,2026