Data Engineer

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Job TitleData Engineer

Department/GroupVenn

Reporting ToSenior Data Scientist

Years of Experience1-3 years

Location : Mbarara

Travel Required20% Job Description

About Raising The Village

We are Raising The Village (RTV) – an international development organization and a registered charity – on a mission to end ultra-poverty in sub-Saharan Africa. Raising The Village is a fast-growing organization on an accelerated growth path. We have 350+ national staff in the Sub-Saharan Africa (SSA) region and a team of 15+ people in North America working together to lift communities out of ultra-poverty in last-mile villages. We operate at the intersection of direct implementation and advanced data analytics to inform progress, decision-making, and impact.

To date, we have supported more than 1,000,000 people in SSA through our innovative holistic approach and are on track to expand our reach and impact year over year.

We have achieved this tremendous growth with the support of our incredible partners from all around the globe who believe in our model and impact. Find out more about our programs and impact at: www.raisingthevillage.org.

The VENN department is the data and technology backbone of our organization, connecting advanced analytics and custom software tools with field implementation to ensure data-informed decision-making at every level.

Role 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.

Key Responsibilities

Pipeline Development & Delivery

●Design and deliver batch and streaming data pipelines that ingest data from field collection platforms (SurveyCTO, ArcGIS, custom mobile apps) into RTV's Databricks warehouse, working at pace against an accelerated infrastructure roadmap.

●Implement ELT and ETL workflows in PySpark and Databricks SQL, applying Medallion Architecture (Bronze, Silver, Gold) principles to produce clean, versioned, and consumption-ready data layers.

●Contribute actively to sprint-based delivery cycles, taking ownership of pipeline workstreams end-to-end from design through deployment and monitoring.

Delta Lake & Warehouse Architecture

●Build and maintain Delta Lake table structures with strong schema enforcement, ACID-compliant write patterns, and time travel capabilities to support auditability across program datasets.

●Contribute to data modeling decisions including; star schema design, SCD patterns, and denormalization trade-offs.

●Support the evolution of Unity Catalog governance structures including lineage tracking, access controls, and dataset documentation as the warehouse scales across new program domains and geographies.

Data Observability & Quality

●Implement and maintain data observability frameworks across all pipeline stages, covering data freshness, volume anomalies, schema drift detection, and SLA monitoring.