MTN Rwanda is offering three career opportunities for qualified candidates interested in Information Technology, Data Engineering, IT Support, and Information Security. The vacancies include two apprenticeship positions and one permanent management position. Interested applicants should review the qualifications and responsibilities for each role and apply through the official MTN Rwanda recruitment portal before the respective deadlines.

Apprentice, Data Engineer

Job Overview

Employer: MTN Rwanda

Department: Information Technology

Position: Apprentice, Data Engineer

Level: 1L

Job Purpose

The Apprentice, Data Engineer supports data processing, data pipeline development, and data warehouse operations. The role contributes to the availability, quality, and reliability of data used for business intelligence, analytics, and decision-making.

Key Responsibilities

• Develop, maintain, and monitor automated data pipelines.
• Process telecommunications data, including Call Detail Records (CDRs), Mobile Money events, and other operational data.
• Maintain data warehouse tables, views, and models used for reporting and analysis.
• Monitor data-processing activities and troubleshoot failed or delayed jobs.
• Investigate data inconsistencies and support the recovery of historical data.
• Monitor data-processing systems and identify performance issues.
• Assist with system maintenance, software upgrades, and production releases.
• Test scripts and system changes before deployment.
• Validate data accuracy through reconciliation, record counts, and quality checks.
• Collaborate with data analysts, data scientists, and business teams to resolve data-related issues.

Qualifications and Requirements

• Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related quantitative field.
• Approximately 1–2 years of hands-on experience in data engineering or a related big data environment.
• Understanding of data pipelines and ETL/ELT processes.
• Knowledge of data warehouses, data modelling, and business intelligence reporting.
• Familiarity with Linux and distributed data-processing systems.
• Experience working with telecommunications data is an advantage.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work effectively with technical and business teams.

• Develop, maintain, and monitor automated data pipelines.
• Process telecommunications data, including Call Detail Records (CDRs), Mobile Money events, and other operational data.
• Maintain data warehouse tables, views, and models used for reporting and analysis.
• Monitor data-processing activities and troubleshoot failed or delayed jobs.
• Investigate data inconsistencies and support the recovery of historical data.
• Monitor data-processing systems and identify performance issues.
• Assist with system maintenance, software upgrades, and production releases.
• Test scripts and system changes before deployment.
• Validate data accuracy through reconciliation, record counts, and quality checks.
• Collaborate with data analysts, data scientists, and business teams to resolve data-related issues.

• data pipelines
• ETL/ELT processes
• data warehouses
• data modelling
• business intelligence reporting
• Linux
• distributed data-processing systems
• telecommunications data
• analytical skills
• troubleshooting skills
• problem-solving skills
• collaboration skills

• Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related quantitative field.
• Approximately 1–2 years of hands-on experience in data engineering or a related big data environment.
• Understanding of data pipelines and ETL/ELT processes.
• Knowledge of data warehouses, data modelling, and business intelligence reporting.
• Familiarity with Linux and distributed data-processing systems.
• Experience working with telecommunications data is an advantage.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work effectively with technical and business teams.