Background information about the job or company (e.g., role context, company overview)

Equity Bank Limited (The "Bank”) is incorporated, registered under the Kenyan Companies Act Cap 486 and domiciled in Kenya. The address of the Bank’s registered office is 9th Floor, Equity Centre, P.O. Box 75104 - 00200 Nairobi. The Bank is licensed under the Kenya Banking Act (Chapter 488), and continues to offer retail banking, microfinance and relat...

Responsibilities or duties

Responsible for developing, maintaining, and optimizing financial data infrastructure. This role involves designing robust ETL/ELT pipelines, ensuring data quality for financial reporting and collaborating with finance stakeholders to drive data-driven insights.

Qualifications or requirements (e.g., education, skills)

Degree in Finance, Commerce, IT, Data Science, or related discipline. (Finance Department exposure is a plus.)

Strong SQL and data modeling; experience with ETL/ELT and data warehousing concepts.

Programming for data (Python preferred) and orchestration/automation mindset.

Ability to communicate with finance stakeholders and convert requirements into data products.

Experience needed

3–5 years in data engineering / analytics engineering, ideally supporting finance or enterprise reporting.

2-3 years experience in the Banking industry.

• Develop dashboards and scorecards for performance monitoring using an array of tools including Power BI, OBIEE
• Data Pipeline & Infrastructure Development: Lead the design and implementation of scalable data pipelines and warehouses to process complex financial data using tools like SQL Server, Azure Data Factory, ADLS, or AWS equivalents.
• Financial Data Modeling: Build and maintain sophisticated data models, ETL procedures, and automated workflows to support financial reporting, regulatory compliance, and forecasting. Champion for a robust data architecture design.
• Stakeholder Collaboration: Act as a bridge between technical teams and finance stakeholders (e.g., Accounting, FP&A) to define requirements and deliver actionable insights.
• Data Governance & Quality: Ensure high data integrity, accuracy, and security of financial records. Implement data governance policies to adhere to compliance requirements.
• Maintain technical documentation (data dictionary, lineage, pipeline runbooks) to support reuse and auditability.
• Implement data validation, reconciliation and control frameworks
• Perform any other duties as assigned.

• SQL
• Data Modeling
• ETL/ELT
• Data Warehousing
• Python
• Orchestration/Automation
• Power BI
• OBIEE
• SQL Server
• Azure Data Factory
• ADLS
• AWS

• Degree in Finance, Commerce, IT, Data Science, or related discipline. (Finance Department exposure is a plus.)
• Strong SQL and data modeling; experience with ETL/ELT and data warehousing concepts.
• Programming for data (Python preferred) and orchestration/automation mindset.
• Ability to communicate with finance stakeholders and convert requirements into data products.