Data Engineer

• PositionData Engineer
• CompanyRaising The Village (RTV)
• LocationMbarara, Uganda (listing header also names Kampala)
• Job typeFull Time
• ClosingNo closing date specified by the employer.

Raising The Village works with last-mile communities to build pathways out of ultra-poverty through community-designed programmes, data and partnerships. Its official careers board carries this vacancy.

Design and deliver batch/streaming ingestion pipelines for data from SurveyCTO, ArcGIS and custom mobile apps into RTV Databricks; own pipeline work from design through deployment and monitoring. Build ETL/ELT processes in PySpark and Databricks SQL using Bronze/Silver/Gold Medallion layers; build Delta Lake tables with schema enforcement, ACID writes and time-travel support.

The body names Mbarara; the header also lists Kampala. Confirm the assigned work location with the employer. The listing requires 1-3 years of experience.

• Design and deliver batch/streaming ingestion pipelines for data from SurveyCTO, ArcGIS and custom mobile apps into RTV Databricks; own pipeline work from design through deployment and monitoring.
• Build ETL/ELT processes in PySpark and Databricks SQL using Bronze/Silver/Gold Medallion layers; build Delta Lake tables with schema enforcement, ACID writes and time-travel support.
• Contribute to warehouse data models (star schemas, slowly changing dimensions and denormalization decisions) and Unity Catalog lineage, access-control and dataset documentation.
• Maintain observability for data freshness, volume anomalies, schema drift and SLAs; implement validation/quality checks with tools such as Great Expectations, dbt tests or Databricks monitoring; support logs, alerts and incident response.
• Integrate household data, image-classification outputs and ML predictions into warehouse layers; partner with ML/DS colleagues on feature and training-data pipelines.
• Collaborate with software engineers, data scientists, field evaluation and program teams; document architectures, transformations, data dictionaries and runbooks.

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Statistics or related quantitative field is preferred; equivalent practical experience, project work, open-source work or bootcamp training is welcomed.
• Demonstrated experience building and shipping production-grade pipelines, with ownership from design to deployment and examples of integration/movement/transformation at meaningful scale.
• Strong hands-on Python (including Pandas), SQL and ETL/ELT skills; PySpark, Databricks or similar platform experience highly valued.
• Delta Lake, Unity Catalog, Medallion Architecture, streaming, observability, AWS and BI exposure are assets; candidate should be willing to deepen capability.
• Role reports to Senior Data Scientist in VENN; up to 20% travel is stated.

Salary and specific employment benefits are not stated in the employer advert.

Use Apply To Position on Raising The Village’s official Breezy vacancy page. Complete the live application form and supply the documents requested there. The employer states that it does not charge recruitment fees and encourages women, people with disabilities and minority groups to apply.

Closing information: No closing date specified by the employer.

Read the original employer advert.

Apply through the official recruitment route

• Checked on 5 November 2026 against Raising The Village (RTV)'s official advert.
• No closing date was published. NextRoleHub rechecks the advert every 30 days and removes it once the employer closes it.
• The application link goes to the employer's own page or email. Applying is free; report anyone who asks for money.
• Before you apply, read our guide: How to find jobs in Uganda without experience. Work out your pay with the take-home pay calculator.