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Information technology, software development, data Jobs for Entry and Basic-level in Uganda
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Raising The VillageProfession (Non-profit, social work, Entry and Basic-level)
Industry (Information technology, software development, data, Entry and Basic-level)
Seniority (Information technology, software development, data, Non-profit, social work)
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Raising The Village
Non-profit + 1 more
Description
The Data Engineer is a core builder on RTV's expanding data infrastructure team, reporting directly to the Senior Data Scientist within the VENN department, and responsible for designing, developing, and maintaining the pipelines, warehouse layers, and data quality systems that power RTV's programmatic analytics, machine learning platforms, and field evaluation tools. Operating at the intersection of data platform engineering, ML infrastructure support, and field data integration, this role works across a fast-moving roadmap that spans batch and streaming ingestion, ELT pipeline development, Delta Lake architecture, observability frameworks, and the integration of structured field data with AI model outputs.
Technical Requirements
Education & Experience: A Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Statistics, or a related quantitative field is preferred. Equivalent practical experience through demonstrable project work, open-source contributions, or bootcamp training is equally welcome. Clear evidence of building and shipping production-grade pipelines, including demonstrable ownership from design through deployment with specific examples of integrating, moving, and transforming data at a meaningful scale.
Technical Skills: Candidates should have strong hands-on experience with Python (including Pandas), SQL, and building or supporting ETL/ELT pipelines. Experience with PySpark, Databricks, or similar modern data platforms is highly valued. Exposure to Delta Lake, Unity Catalog, Medallion Architecture, streaming pipelines, data observability, AWS, and BI tools is considered an asset. The successful candidate will continue to build depth in these areas while working closely with the Senior Data Scientist and broader technical team.
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