Data Engineer
2025-12-18T07:46:12+00:00
KCB Bank Kenya
https://cdn.greatkenyanjobs.com/jsjobsdata/data/employer/comp_8992/logo/kCB.png
https://ke.kcbgroup.com/
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Finance
Computer & IT, Science & Engineering
2025-12-23T17:00:00+00:00
8
Background information about the job or company (e.g., role context, company overview)
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.
Responsibilities or duties
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.
Qualifications or requirements (e.g., education, skills)
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.
Experience needed
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.
Any other provided details (e.g., benefits, work environment, team info, or additional notes)
The above position is a demanding role for which the Bank will provide a competitive remuneration package to the successful candidate.
Qualified candidates with disability are encouraged to apply.
Only short-listed candidates will be contacted.
* Design, develop, and maintain robust data pipelines to reliably ingest, process, and consolidate data from diverse sources at scale. * Build and manage efficient data models, data warehouses, and data platforms to support BI and advanced analytics initiatives. * Develop and optimize ETL/ELT processes for maximum performance, scalability, reliability, and cost-efficiency. * Implement and enforce standards for data quality, security, and governance across all data assets. * Proactively monitor, troubleshoot, and tune data pipelines, and systems for performance and reliability. * Support the deployment and integration of machine learning models and analytical products into production and enable automation of solutions. * Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver clean, reliable, and well-documented datasets. * Contribute to the overall data strategy, architecture design, and continuous process improvement initiatives. * Develop and automate metrics, dashboards, and reports to monitor data governance trends, such as data quality. * Create and maintain comprehensive technical documentation on data pipelines, configurations, setups, and deployment of data solutions.
* Creativity * Business intuition * Excellent communication * Problem-solving skills * Data integration * ETL processes * Data modeling * Data warehousing * Data governance principles * Python * R * Data Visualization (OBIEE/Power BI/Tableau/SAP BI tools) * SQL (Oracle PL/SQL)
* 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.
JOB-6943b1440f4de
Vacancy title:
Data Engineer
[Type: FULL_TIME, Industry: Finance, Category: Computer & IT, Science & Engineering]
Jobs at:
KCB Bank Kenya
Deadline of this Job:
Tuesday, December 23 2025
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Thursday, December 18 2025, Base Salary: Not Disclosed
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JOB DETAILS:
Background information about the job or company (e.g., role context, company overview)
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.
Responsibilities or duties
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.
Qualifications or requirements (e.g., education, skills)
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.
Experience needed
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.
Any other provided details (e.g., benefits, work environment, team info, or additional notes)
The above position is a demanding role for which the Bank will provide a competitive remuneration package to the successful candidate.
Qualified candidates with disability are encouraged to apply.
Only short-listed candidates will be contacted.
Work Hours: 8
Experience in Months: 60
Level of Education: bachelor degree
Job application procedure
Application Link: Click Here to Apply Now
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