Senior Data Engineer
Inkomoko
| Company | Inkomoko |
| Category | Engineering |
| Location | Addis Ababa |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 13 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (workable) |
Description
ABOUT INKOMOKO Inkomoko supports entrepreneurs to grow their businesses in order to improve livelihoods, create jobs, and help communities thrive. In 2026, Inkomoko was listed by the Financial Times as the 5th fastest-growing company in Africa , supporting entrepreneurs across East and Central Africa to grow thriving businesses and build inclusive, resilient economies. Founded in 2012, Inkomoko has worked with more than 100,000 entrepreneurs, including thousands of refugee entrepreneurs. Inkomoko provides a combination of training, consulting, access to finance, and market-level systems change. We are the largest investor to refugee entrepreneurs in Africa. Inkomoko has 900+ staff in 50 offices across Chad, Ethiopia, Kenya, Rwanda, and South Sudan. Through Inkomoko’s 2030 strategic plan, we are adding 3 additional countries to serve more than 550,000 entrepreneurs and growing our $30M loan fund to impact 7M lives. INKOMOKO VALUES All staff at Inkomoko are connected to a shared set of organizational values: Purpose: be solutions-oriented, produce high-quality work, and be a global leader. Achievement: push yourself to reach beyond what you previously thought possible. Improvement: be humble, engage in continuous growth through open & accurate feedback Bravery: willing to take risks, create a safe space for others, be compassionate, and inclusive. We Eat Goat: we celebrate success and support each other in hard times. We do this work together in the spirit of turikumwe, tuko pamoja, abren nen, Kula na sawa, On est ensemble. Inkomoko is an affirmative action/equal opportunity employer. Refugees, women, and persons who reflect the diverse communities we serve are strongly encouraged to apply. ABOUT THE OPPORTUNITY AND RESPONSIBILITIES As a Senior Data Engineer, you will play a strategic role within the MERL team, and you will report to the Business Analytics Manager. You will lead the architecture, development, optimization and maintenance of scalable, reliable, and secure data platforms, engineering robust batch and real-time data pipelines that power business analytics, reporting, and data-driven applications across Inkomoko's countries of operation. You will collaborate closely with the Digital Transformation team (IT), Data & Quality Analysts, the Business Analytics Manager, and country MERL teams to ensure data pipelines are efficient and datasets are clean, accessible, well-documented, and ready for analytics, reporting, and decision-making. Success in this role requires strong data pipeline engineering and analytics skills for technical execution, attention to data quality, process documentation, and the ability to collaborate effectively across teams. This position is based in Rwanda, Ethiopia, South Sudan, Chad, or Kenya. KEY RESPONSIBILITIES 1. Data Pipelines & Integration (30%) Own the architecture, design, and evolution of scalable, secure, and reliable data solutions that enable data-driven decision-making. Lead the design and implementation of real-time, event-driven data pipelines using technologies such as Debezium (CDC), Apache Kafka, and similar streaming platforms to integrate data from internal systems, ERP platforms, and data collection tools (e.g., SurveyCTO). Lead the development and maintenance of scalable batch data ingestion pipelines using modern data integration tools, preferably Airbyte. Build and maintain centralized, high-quality datasets that support analytics, reporting, and AI initiatives across country and regional programs. 2. Data Modeling, Storage & Security (20%) Lead the design and governance of scalable data models, with a strong emphasis on dimensional modeling and analytics ready data models. Own the design, development and maintenance of secured, performant, scalable, and reliable OLAP (ClickHouse) and OLTP (MySQL/PostgreSQL) pla
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