The role holder will leverage creativity, business intuition, excellent communication, problem solving skills to design, build, and maintain scalable data pipelines and architectures to support analytics, reporting, and data-driven decision-making. The ideal candidate is experienced in data integration, ETL processes, with a strong understanding of data modelling, warehousing, and governance principles.
Key Responsibilities:
- Build Data Pipelines: Design, develop, and maintain robust data pipelines to reliably ingest, process, and consolidate data from diverse sources at scale.
- Data Modeling and Warehousing: Build and manage efficient data models, data warehouses, and data platforms to support BI and advanced analytics initiatives.
- ETL/ELT Optimization: Develop and optimize ETL/ELT processes for maximum performance, scalability, reliability, and cost-efficiency.
- Data Quality and Governance: Implement and enforce standards for data quality, security, and governance across all data assets.
- Monitoring and Troubleshooting: Proactively monitor, troubleshoot, and tune data pipelines, and systems for performance and reliability.
- Production Integration: Support the deployment and integration of machine learning models and analytical products into production and enable automation of solutions.
- Requirements Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver clean, reliable, and well-documented datasets.
- Architecture and Strategy: Contribute to the overall data strategy, architecture design, and continuous process improvement initiatives.
- Reporting and Metrics Automation: Develop and automate metrics, dashboards, and reports to monitor data governance trends, such as data quality.
- Technical Documentation: Create and maintain comprehensive technical documentation on data pipelines, configurations, setups, and deployment of data solutions.
The Ideal Candidate: Academic, Professional & Experience:
For the above position, the successful applicant should have the following:
- BSc. Information Technology / Computer Science / Telecommunications / Engineering or related
- Bachelor’s degree in computer science, Data Science, Information Technology, Engineering, Mathematics or equivalent combination of education and experience.
- A master’s degree in computer science, Data Science, Information Technology, Advanced Analytics, or a Related Field will be an added advantage.
- Professional certifications, such as Data Analytics, Data Engineering, or Data Science-related certifications, will be an added advantage.
- 5 years’ minimum experience is required, together with the following essential experience:
- 3 years of experience in data warehousing
- 2 years of experience in data analytics and modelling
- 5 years of experience in the use of any ETL tool, e.g., Oracle ODI/Microsoft SSIS/SAP Data Services/Alteryx or any other tool.
- 2 years of experience in programming (Python and/or) R).
- 2 years of experience in Data Visualization e.g., OBIEE/Power BI/Tableau/SAP BI tools.
- 5 years of experience in SQL (Oracle PL/SQL).
- 2 years of experience in Data Governance/Data Quality is desired.
The above position is a demanding role for which the Bank will provide a competitive remuneration package to the successful candidate. If you believe you can clearly demonstrate your abilities to meet the criteria given above, please log in to our Recruitment portal and submit your application with a detailed CV.
To be considered your application must be received by Tuesday 23rd December 2025.
Qualified candidates with disability are encouraged to apply.
Only short-listed candidates will be contacted.
