Data Engineer Job in Kenya at One Acre Fund

Why This Role Matters

This Data Engineer role allows professionals to develop key skills in NGO / Non-Profit Associations. The position offers career growth opportunities while supporting the company's mission and values.

Responsibilities for Data Engineer in Kenya

• Data Pipeline Development
• Design, build, and maintain scalable ETL/ELT data pipelines.
• Ensure efficient ingestion of data from operational systems into data warehouses.
• Implement monitoring, logging, and alerting systems for pipeline reliability.
• Troubleshoot and resolve pipeline failures and data processing issues.
• Optimize data workflows for performance, scalability, and cost efficiency.
• Automate data ingestion processes to reduce manual intervention and improve reliability.
• Implement incremental and batch processing strategies for large datasets.
• Ensure data pipelines are fault-tolerant and support high availability.
• Standardize pipeline development frameworks and reusable components.
• Integrate multiple heterogeneous data sources including APIs, databases, and streaming systems.
• Data Modeling and Transformation
• Develop structured and reusable datasets to support analytics and reporting.
• Implement business logic within data transformation layers.
• Build and maintain curated datasets and standardized data views.
• Ensure data models align with organizational reporting and analytical needs.
• Collaborate with analysts to refine data structures for usability.
• Design dimensional data models (star/snowflake schemas) for analytical efficiency.
• Maintain version-controlled transformation logic for reproducibility.
• Optimize queries and transformations for performance at scale.
• Define and enforce consistent data definitions across domains.
• Support creation of semantic layers for self-service analytics.
• Data Quality and Governance
• Implement validation rules and automated data quality checks.
• Monitor data accuracy, consistency, and completeness across systems.
• Develop frameworks for data quality assurance and reliability.
• Identify and resolve data integrity issues across pipelines.
• Ensure adherence to data governance standards and best practices.
• Establish data quality KPIs and continuously track data health metrics.
• Implement anomaly detection mechanisms for early issue identification.
• Ensure compliance with data privacy and security standards.
• Maintain metadata standards and enforce data lineage tracking.
• Support audits and compliance reviews related to data systems.
• Stakeholder Collaboration
• Work closely with analysts, engineers, and business teams to understand data needs.
• Translate business requirements into technical data solutions.
• Support self-service analytics by enabling accessible and well-documented datasets.
• Collaborate with cross-country teams to ensure data consistency across regions.
• Participate in technical and business requirement discussions.
• Act as a bridge between technical and non-technical stakeholders.
• Provide technical guidance on data availability and usage.
• Support training sessions for users on data tools and datasets.
• Gather feedback from stakeholders to improve data products.
• Contribute to prioritization of data engineering initiatives.
• Incident Response and System Maintenance
• Investigate and resolve data pipeline failures and system issues.
• Conduct root cause analysis and implement preventive measures.
• Maintain documentation of systems, pipelines, and data models.
• Improve system reliability through continuous monitoring and optimization.
• Ensure minimal downtime and quick recovery from data incidents.
• Establish incident response protocols for critical data systems.
• Participate in on-call support for data infrastructure issues.
• Perform post-incident reviews and implement corrective actions.
• Enhance system resilience through redundancy and failover strategies.
• Continuously refine monitoring dashboards and alert thresholds.
• Data Platform Development
• Contribute to the development and maintenance of data infrastructure.
• Improve scalability and performance of data warehouse systems.
• Support automation of data workflows and processes.
• Enhance metadata management and documentation practices.
• Participate in modernization of data architecture and tools.
• Evaluate and implement new data technologies and frameworks.
• Optimize storage and compute resources for cost efficiency.
• Support migration of legacy systems to modern data platforms.
• Implement infrastructure-as-code practices for data systems.
• Collaborate in designing cloud-based data architecture solutions.

Qualifications for Data Engineer in Kenya

• Degree

How to Apply for Data Engineer in Kenya

Interested candidates should apply through the official recruitment portal of One Acre Fund. Applications are reviewed on a rolling basis, and candidates are encouraged to apply early as recruitment continues until the position is filled. Only shortlisted candidates will be contacted. The organization does not charge any fee at any stage of the recruitment process. Official communication will only come from verified @oneacrefund.org email addresses.