# Data Engineer > Inkomoko · Nairobi, Kenya · Full-time · Posted 2026-08-27 **Workplace:** on_site **Department:** Digital Transformation ## 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 Data Engineer, you will build and operate the pipelines at the heart of Inkomoko's enterprise data platform, ensuring trusted, secure and scalable data is available to support analytics, AI, products, operations and organisational decision-making. You will work within the technical architecture and engineering standards set by the Senior Data Engineer, with growing ownership as you demonstrate it. This is a role for an engineer who wants to get significantly better, fast, with structured mentorship. You will be mentored by the Senior Data Engineer through code review, pairing, and a written growth plan, and you will work on one of the hardest practical problems in our estate: contributing to the client entity resolution layer that joins the same person across the advisory, core banking, and survey systems, with transparency, auditability and measurable data quality. You will work with data about refugee entrepreneurs. That carries real responsibility: every pipeline you touch operates under Inkomoko's data protection controls and ingests only the columns the business needs, and all data movement and integration must comply with approved enterprise architecture, security, privacy and data-governance standards. **KEY RESPONSIBILITIES** **1\. Pipeline Development and Maintenance (40%)** - Build, maintain and operate reliable, auditable data pipelines integrating approved enterprise, lending, programme, survey and external data sources, within the platform architecture set by the Senior Data Engineer. - Keep all loads idempotent and checkpointed, so an interrupted run resumes rather than restarts, and document every pipeline as code alongside the pipeline itself. - Enforce column-level minimization at ingestion: personal data that no downstream model needs is never ingested. - Apply the platform's reusable integration patterns when onboarding new sources, and flag where a pattern does not fit rather than working around it silently. **2\. Data Quality and Reliability (30%)** - Implement tests, contracts, and freshness checks for the pipelines you own, feeding the promotion-blocking quality gate: when a check fails, downstream publication halts and someone is alerted, by design. - Monitor the health, performance and cost of your pipelines through the platform's observability and alerting, and respond to incidents within agreed SLAs/SLOs. - Participate in root-cause analysis for pipeline and gate failures, and contribute short, blameless written causes and fixes. **3\. Entity Resolution and Integration Support (15%)** - Implement components of the client entity resolution layer to the Senior Data Engineer's design, including matching logic, survivorship rules, and the auditable record of merge decisions. - Investigate unresolved or conflicting matches and surface them with evidence, rather than silently picking one. **4\. Governance, Security and Collaboration (15%)** - Apply the technical controls required by Inkomoko's Data Governance Framework in the pipelines you build, including classification, access, lineage, retention, encryption, minimisation and auditability. - Work within the platform's data protection controls, aligned with the data protection laws of the jurisdictions we operate in; access administration is centrally managed and this role works inside it, not above it. - Collaborate with Technology Enablement, Product and Innovation, MERL and business system owners on source-system changes and data dependencies affecting your pipelines. - Engage actively in mentorship: structured code review, pairing, and a written growth plan with the Senior Data Engineer. ## Requirements **WHO WE ARE LOOKING FOR** - Education: Bachelor's degree in Computer Science, Engineering, Statistics, or a related field; equivalent demonstrated experience considered. - Experience: 2 to 4 years in data engineering or backend engineering with substantial data work, in a production environment. - Programming: strong Python and SQL; you write pipelines as software, with tests, not as scripts. - Databases: solid PostgreSQL; exposure to SQL Server is a plus. - Transformation and orchestration: hands-on dbt experience and familiarity with a modern orchestrator; Dagster preferred, Airflow background welcome. - Data movement: working understanding of incremental and idempotent load patterns; familiarity with Kafka and Spark is a valued plus, not a requirement. - Engineering practice: Git discipline, CI/CD, and containerization (for example Docker) as daily habits; documentation you would want to inherit. - Data protection: awareness of handling sensitive personal data responsibly; experience with regulated, financial, or humanitarian data is a strong plus. - Growth: evidence that you seek and act on feedback; this role comes with structured mentorship, and we are looking for someone who will use it. - Communication: ability to explain what a pipeline does, what broke, and what you changed, clearly and in writing. **Key competencies:** **We are looking for someone who:** - **Instills Trust -** Follows through on commitments, builds credibility by being direct and truthful, and shows genuine care for staff members. - **Acts with Courage -** Steps up to address difficult issues and speaks openly with bravery; takes the initiative to pursue new opportunities; takes full ownership of own work - **Makes Informed Decisions -** Seeks relevant data and input when needed, takes appropriate action within their area of responsibility, and knows when to escalate. ## Benefits **WHAT YOU’LL GET** This role is inside a high-growth, mission-driven social enterprise. By joining, you’ll access: - Meaningful work that directly contributes to sustainable livelihoods and job creation across East and Central Africa. - Competitive salary, and potential Performance-based bonus - Incredible company culture, with opportunities for learning and growth - Diverse colleagues across the region, and policies that demonstrate commitment to equity and inclusion  - A dynamic and entrepreneurial team environment committed to innovation and social impact - Health insurance for self and family - Staff savings and provident fund negotiated bank rates for long-term employees - Generous annual leave, parental leave, and sabbatical options.  **TO APPLY** If you’re excited about this role, please submit your CV and tell us why you are the right fit for this opportunity.  **Application Deadline: 1st September 2026** Inkomoko is committed to justice, diversity, equity, and inclusion.  As we seek to reflect the communities we serve, refugees and women are strongly encouraged to apply. As a company, we have policies that ensure fair treatment in the application process.  NB: Only shortlisted candidates will be contacted. Employment is conditional upon successful background checks and other verification as needed. All offers of employment will be subject to satisfactory references and background screening checks. Inkomoko also participates in the [Inter Agency Misconduct Disclosure Scheme](https://misconduct-disclosure-scheme.org/). In line with this Scheme, we will request information from job applicants’ previous employers about any findings of sexual misconduct, fraud, or abuse. By applying, the job applicant confirms his/her understanding of these recruitment procedures. ## Apply [Apply at Inkomoko](https://apply.workable.com/inkomoko/j/E3896C3399/apply) --- Powered by [Workable](https://www.workable.com)