JOB PURPOSE

• The role is responsible for design, coordination and execution of Data Engineering workstreams in support of process optimisation and automation projects using artificial intelligence platforms and related tools.

RESPOSIBILITIES

Data Engineering Operations

• Develop, deploy, and maintain data pipelines and ETL processes on AWS using services like Matillion, Data Bricks and AWS Lambda.
• Design and implement scalable and reliable data ingestion solutions to collect, process, and store data from various sources into AWS data lakes or data warehouses.
• Collaborate with data scientists, software engineers, and business stakeholders to understand data requirements and develop data models that support AI-driven automation workflows.
• Implement data quality checks, monitoring, and logging mechanisms to ensure data integrity, availability, and compliance with regulatory requirements.
• Work closely with DevOps teams to automate deployment, orchestration, and management of data infrastructure and applications.
• Troubleshoot and resolve data-related issues, performance bottlenecks, and system failures in collaboration with cross-functional teams

Self-Management

• Set an example through personal quality and productivity standards and ways of working with others.
• Demonstrate consistent application of internal procedures. Plan and prioritise, demonstrating abilities to manage competing demands.
• Demonstrate abilities to anticipate and manage change. Demonstrate flexibility in balancing achievement of own objectives with abilities to understand and respond to organisational and team needs.

Data Management

• Manage basic aspects of the data management system with guidance from senior colleagues.
• This includes being responsible for developing or operating basic elements of the data management systems to deliver prescribed outcomes.

Requirements

Behavioral Competencies

• Optimizes Work Processes
  Manage Complexity
• Ensures Accountability
  Collaborates
• Tech Savy
• Cultivates Innovation
• Instills Trust
• Customer Focus

Skills

• Policy and Regulation
• Negotiation
• Commercial Acumen
• Computer Skills
• Risk Management
• Planning and Organizing
• Action Planning
• Policy and procedures
• Contract Management
• Costing and Budgeting
• Project Management
• Data Collection and Analysis
• Compliance Management
• Health and Safety
• Customer and Market Analysis
• Data Control

EDUCATION

General Education

• University (Undergraduate degree) in STEM (Required)Post-graduate degree with specialization in Informatics, Computer Science, or related fields (Advantageous)
• Supplementary studies and certifications (Advantageous)

EXPERIENCE

General Experience

• Minimum 3 years working as a full-time Data Engineer using Cloud technologies.
• Minimum 1 year experience with leading or mentoring a Junior Data Engineer
• Exposure to AI tools and projects (Advantageous)

Managerial Experience

• Experience of general supervision of more junior colleagues (7 to 12 months)