Assistant Manager – Business Intelligence Platform Engineering
2025-05-13T12:16:09+00:00
Kenya Revenue Authority (KRA)
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FULL_TIME
Nairobi
Nairobi
00100
Kenya
Public Administration, and Government
Computer & IT
2025-06-02T17:00:00+00:00
Kenya
8
Job Purpose
The jobholder shall be responsible for implementing robust data pipelines that collect, process, and store data from various sources. The person shall design and maintain pipelines while ensuring data quality and reliability and collaborating with cross-functional teams to enable data-driven decision-making across the organization.
Duties and Responsibilities
- Supervise and guide a team of data engineers to ensure timely delivery of data engineering projects, including the day to day administration of business intelligence platforms, tools and pipelines
- Plan, prioritize, and execute data engineering initiatives within established timelines and budgets and collaborate closely with cross-functional teams to identify business challenges, opportunities, and data-driven solutions.
- Track project progress, address challenges, and ensure alignment with organizational objectives, define, measure, and track key performance indicators (KPIs) to monitor organizational and departmental performance.
- Design, build, and maintain scalable business intelligence platform, tools and data pipelines while ensuring that the data platforms infrastructure is optimized for performance and reliability.
- Supervise Data Engineering team in defining the data management and analytics strategic roadmap and align it with the organization's objectives.
- Integrate data from various systems, including structured and unstructured data sources, to create unified datasets and collaborate with data analytics and data science teams to support advance analytics and machine learning.
- Supervise rollout of new enhancements across data platforms, including upgrades, relevant API deployments.
- Assist in monitoring and maintaining the data infrastructure, ensuring high availability and performance, troubleshoot and resolve technical issues related to data storage, processing, and retrieval.
- Implement processes to validate and monitor data quality, ensuring consistency and accuracy across systems.
- Create and maintain documentation for the business intelligence platforms, tools, data pipelines, workflows, and infrastructure.
- Define and enforce coding standards and best practices for data engineering.
- Ensure data pipelines and storage systems adhere to security protocols and data privacy regulations.
Person Specifications
For appointment to this job, the candidate must have:
- Bachelor’s degree in Computer Science, Data Science, Information Technology/Business Information Technology, Artificial Intelligence, Machine Learning, Economics, Statistics, Mathematics, Engineering or a related field.
- Four (4) years relevant work experience, one (1) of which must be at Supervisory level.
- Management Course lasting not less than four (4) weeks from a recognized institution, will be an added advantage.
- Membership to a relevant professional body where applicable;
- Practicing License where applicable.
- Proficiency in Computer Applications.
Key Competencies
- Innovative thinking
- Organizational skills
- Resilience and Adaptability
- Critical Thinking and Problem-Solving
- Customer-Centrism Approach
- Professionalism, Ethical Judgment and Integrity
Supervise and guide a team of data engineers to ensure timely delivery of data engineering projects, including the day to day administration of business intelligence platforms, tools and pipelines Plan, prioritize, and execute data engineering initiatives within established timelines and budgets and collaborate closely with cross-functional teams to identify business challenges, opportunities, and data-driven solutions. Track project progress, address challenges, and ensure alignment with organizational objectives, define, measure, and track key performance indicators (KPIs) to monitor organizational and departmental performance. Design, build, and maintain scalable business intelligence platform, tools and data pipelines while ensuring that the data platforms infrastructure is optimized for performance and reliability. Supervise Data Engineering team in defining the data management and analytics strategic roadmap and align it with the organization's objectives. Integrate data from various systems, including structured and unstructured data sources, to create unified datasets and collaborate with data analytics and data science teams to support advance analytics and machine learning. Supervise rollout of new enhancements across data platforms, including upgrades, relevant API deployments. Assist in monitoring and maintaining the data infrastructure, ensuring high availability and performance, troubleshoot and resolve technical issues related to data storage, processing, and retrieval. Implement processes to validate and monitor data quality, ensuring consistency and accuracy across systems. Create and maintain documentation for the business intelligence platforms, tools, data pipelines, workflows, and infrastructure. Define and enforce coding standards and best practices for data engineering. Ensure data pipelines and storage systems adhere to security protocols and data privacy regulations.
Innovative thinking Organizational skills Resilience and Adaptability Critical Thinking and Problem-Solving Customer-Centrism Approach Professionalism, Ethical Judgment and Integrity
Bachelor’s degree in Computer Science, Data Science, Information Technology/Business Information Technology, Artificial Intelligence, Machine Learning, Economics, Statistics, Mathematics, Engineering or a related field. Four (4) years relevant work experience, one (1) of which must be at Supervisory level. Management Course lasting not less than four (4) weeks from a recognized institution, will be an added advantage. Membership to a relevant professional body where applicable; Practicing License where applicable. Proficiency in Computer Applications.
JOB-68233809d8021
Vacancy title:
Assistant Manager – Business Intelligence Platform Engineering
[Type: FULL_TIME, Industry: Public Administration, and Government, Category: Computer & IT]
Jobs at:
Kenya Revenue Authority (KRA)
Deadline of this Job:
Monday, June 2 2025
Duty Station:
Nairobi | Nairobi | Kenya
Summary
Date Posted: Tuesday, May 13 2025, Base Salary: Not Disclosed
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JOB DETAILS:
Job Purpose
The jobholder shall be responsible for implementing robust data pipelines that collect, process, and store data from various sources. The person shall design and maintain pipelines while ensuring data quality and reliability and collaborating with cross-functional teams to enable data-driven decision-making across the organization.
Duties and Responsibilities
- Supervise and guide a team of data engineers to ensure timely delivery of data engineering projects, including the day to day administration of business intelligence platforms, tools and pipelines
- Plan, prioritize, and execute data engineering initiatives within established timelines and budgets and collaborate closely with cross-functional teams to identify business challenges, opportunities, and data-driven solutions.
- Track project progress, address challenges, and ensure alignment with organizational objectives, define, measure, and track key performance indicators (KPIs) to monitor organizational and departmental performance.
- Design, build, and maintain scalable business intelligence platform, tools and data pipelines while ensuring that the data platforms infrastructure is optimized for performance and reliability.
- Supervise Data Engineering team in defining the data management and analytics strategic roadmap and align it with the organization's objectives.
- Integrate data from various systems, including structured and unstructured data sources, to create unified datasets and collaborate with data analytics and data science teams to support advance analytics and machine learning.
- Supervise rollout of new enhancements across data platforms, including upgrades, relevant API deployments.
- Assist in monitoring and maintaining the data infrastructure, ensuring high availability and performance, troubleshoot and resolve technical issues related to data storage, processing, and retrieval.
- Implement processes to validate and monitor data quality, ensuring consistency and accuracy across systems.
- Create and maintain documentation for the business intelligence platforms, tools, data pipelines, workflows, and infrastructure.
- Define and enforce coding standards and best practices for data engineering.
- Ensure data pipelines and storage systems adhere to security protocols and data privacy regulations.
Person Specifications
For appointment to this job, the candidate must have:
- Bachelor’s degree in Computer Science, Data Science, Information Technology/Business Information Technology, Artificial Intelligence, Machine Learning, Economics, Statistics, Mathematics, Engineering or a related field.
- Four (4) years relevant work experience, one (1) of which must be at Supervisory level.
- Management Course lasting not less than four (4) weeks from a recognized institution, will be an added advantage.
- Membership to a relevant professional body where applicable;
- Practicing License where applicable.
- Proficiency in Computer Applications.
Key Competencies
- Innovative thinking
- Organizational skills
- Resilience and Adaptability
- Critical Thinking and Problem-Solving
- Customer-Centrism Approach
- Professionalism, Ethical Judgment and Integrity
Work Hours: 8
Experience in Months: 48
Level of Education: bachelor degree
Job application procedure
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