Supervisor – Data Integration at Kenya Revenue Authority (KRA)

The jobholder shall be responsible for developing and maintaining robust and secure data integration solutions that consolidate information from various internal and external sources into the data ecosystem while ensuring that data flows are reliable, scalable, and comply with regulatory and data governance standards.

Duties and responsibilities

• Automate data ingestion, processing, and validation workflows to support analytics and reporting teams.
• Implement end-to-end data integration solutions to support batch and streaming data.
• Integrate data from diverse systems including legacy processing systems, third-party data providers, and cloud platforms.
• Collaborate with tax domain experts, analysts, and system owners to understand data requirements and ensure accurate, timely data delivery.
• Maintain and optimize data pipelines to handle structured, semi-structured, and unstructured data.
• Develop reusable components and templates for scalable integration workflows.
• Ensure compliance with data privacy laws and internal security policies throughout all integration processes.
• Create and maintain documentation for data flows, transformations, schemas, and data dictionaries, business glossary, business relationships, and metadata.
• Implement data quality checks, error handling, and monitoring for all integration processes.
• Support testing, validation, and deployment of integration solutions across development, staging, and production environments.
• Troubleshoot integration issues and provide support for operational data workflows.
• Manage usage and lifecycle of third-party data.
• Identify and implement improvements by reducing data redundancy and appropriate Data reuse.

Person specifications

For appointment to this job, the candidate must have:

• A Bachelor’s degree in Computer Science, Data Science, Information Technology, Artificial Intelligence, Machine Learning, Economics, Statistics, Mathematics, Engineering or a related field.
• Membership to a relevant professional body.
• Minimum of 3 years relevant work experience in data integration or ETL development roles.
• Certification in data integration tools or platforms
• Strong knowledge of relational databases and SQL scripting.
• Familiarity with APIs, web services message queues and file-based integration
• Experience working with batch and real-time data integration architectures.
• Knowledge of data modelling, data warehouse concepts and modern data platforms.
• Understanding of data governance, metadata management, and regulatory compliance.