Requirements

Operational Delivery:

• Gathers business requirements, executes projects and derives business insights.
• Collects data and builds fit for purpose dashboards and reports based on requirements.
• Troubleshooting of data issues and providing fit for purpose solutions with data engineering best practices
• Complete projects/tasks assigned or working with other staff (internal /external) and following up on assigned projects/tasks. Partnering with business stakeholders to unpack data management requirements and design for future requirements based on future needs.
• Collaborate with stakeholders across the organization to ensure data quality, accuracy, and security
• Lead and manage a team of data engineers responsible for designing, building, and maintaining robust data infrastructure and systems.

Data Engineering:

• Design and implement robust Extract Transform Load (ETL) frameworks and processes.
• Design and implement robust data integration strategies and processes.
• Develop and implement data management (architecture and 1 / 3 o integration) policies, procedures, and best practices Manage data engineering projects and ensure timely delivery of high-quality results.
• Develop and implement databases, data collection systems and enable data analytics.
• Acquire and integrate data from different sources and enable integrated reporting.
• Recruit, train, and mentor data engineering team members to promote growth and professional development Requirements

QUALIFICATION REQUIREMENTS:

• A Degree, or Higher National Diploma, or equivalent certification in an analytical field, e.g. Informatics, Data Science, Commerce Certification advantageous (SQL, Data Engineering, Architecture, Ab Initio etc.)

EDUCATION and/or EXPERIENCE:

• 4-7 years of experience in data engineering or a related field
• Data warehousing and integration experience
• Ability to perform complex data analysis and data deep dives Experience in building large data repositories.