Data Engineer II

Data Analyst

To ensure effective movement, collection, integration, storage, and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with relevant stakeholders (such as Enterprise Architecture, Database and Solution Architects, Business Intelligence Developers, Data Scientists and Product Owners, etc.)

Responsibilities include:

• Conduct hands-on work related to profiling, documenting and validating the client
• Execute remediation actions as agreed with client Install or update required system components
• Implement the necessary components and frameworks required for automated deployments and task scheduling.
• Acquire and collect data via ETL (Extract, Transform and Load) processes from source systems into the Reservoir and Enterprise Data warehouse, adhering to the appropriate data platform standards.
• Integrate data from multiple sources through the enterprise data platform architecture to meet the business objective.
• Develop and maintain the physical data marts and databases.
• Automate tasks related to data pipelines for the deployment of operational analytics.
• Prepare and provision data for advanced analytical modelling by data scientists (as and when applicable).
• Perform data quality assessments and introduce monitors and alerts to ensure data quality is maintained throughout all managed systems.
• Create change scripts and sets scripts up to be ready and implemented in production.
• Participate in architecture forum (as and when required).
• Utilise various components and tools which make up the data platform for enhanced service delivery.
• Create requirements and design of the technical architecture, Design and development, testing, and deployment of the proposed solution.
• Learn from the Subject Matter Expert on technical environment or tools for own area of expertise.
• Assist and work on projects to roll out and support to team members.
• Participate in planned activities that are appropriate for own development.
• Develop, encourage and nurture collaborative relationships across area of specialisation.

Qualification & Experience:

• BCom/BSc in Computer Science/ Information Technology
• 3 to 5 years' experience in a similar environment, of which 2 - 3 years ideally at a junior specialist level
• Experience with Extract, Transform and Load (ETL)
• Experience in data integration for consumption use cases.
• Experience with Ab Initio is advantageous
• DBA experience advantageous.
• Experience with data governance, data quaity and data security best practises
• People skills in relation to stakeholder management
• Strategic thinking/organizational awareness

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

30/08/25