About Palladium:

Operating in over 50 countries, Palladium is a global consulting and implementation company working in partnership with governments, businesses, investors, and communities to design and deliver solutions that create lasting positive impact. We address some of the world’s most complex challenges across infrastructure, economic growth and natural capital, health, energy, climate and environment, and digital transformation—strengthening systems, institutions, and markets to support inclusive and sustainable development. Our more than 2,100 staff worldwide work as trusted advisors across diverse contexts, combining deep technical expertise, implementation techniques, and innovative technology to deliver locally informed, client-focused solutions that help organizations achieve measurable, sustainable impact.

Palladium is part of GISI’s global family of companies, which aims to create solutions for the world’s most complex challenges. With annual revenues of $14 billion, GISI’s approximately 15,000 employees are engaged in projects across 100 countries worldwide providing construction, program/project management, and engineering consulting services.

Project Background:

Data-Activated Architecture for Resilient Transition (DART) supports the Ministry of Health (MOH) to strengthen and scale interoperable, fit-for-purpose digital health systems. The project supports facility digitization and EMR readiness; National Data Warehouse (NDWH) stabilization; data-center design and cybersecurity; Health Information Exchange (HIE) operations and priority integrations; workforce certification; survey modernization; responsible AI adoption; and service-delivery data reporting performance. The project is designed to build on MOH-owned systems, repositories, standards, and governance structures, with progressive transfer of capability to government and Ugandan institutions. Project period is anticipated 2026–2030, beginning with a six-month foundation phase.

Note: All positions are subject to award, final organizational design, and Palladium hiring procedures. Reporting lines may be adjusted during mobilization. “MOH” includes the responsible Directorate/Department of Health Informatics (DHI) and other government units as applicable.

Position Summary:

The ETL Engineer develops and maintains reliable, documented, and monitored data pipelines that move approved data from source systems into the NDWH and approved analytics environments. The position supports data standardization, quality checks, operational troubleshooting, and production support under the direction of the Data Engineering Lead and in collaboration with MOH technical teams.

Location:

This role and project will be based out of Kampala, Uganda with national and regional travel as required. Candidates must have current work authorization in Uganda as visa sponsorship cannot be considered.

Reporting and Supervision:

This role will report to the Data Engineering Lead, DART

Primary Responsibilities:

• Develop, test, deploy, and maintain ETL/ELT pipelines for approved source systems and NDWH data products
• Implement transformations, validation rules, scheduling, exception handling, reconciliation, and automated alerting
• Support migration from fragile manual, file-based, or direct-database processes to approved, monitored exchange patterns
• Maintain pipeline documentation, source-to-target mappings, data dictionaries, logs, runbooks, and version-controlled code
• Investigate pipeline failures, data discrepancies, delayed loads, and quality exceptions; coordinate corrective action with source-system owners
• Support data mart refreshes and the preparation of reliable extracts for dashboards, reporting, and verification
• Participate in peer review, testing, release procedures, and operational handover to MOH/DHI counterparts

Qualifications and Experience:

• Bachelor’s degree in computer science, data engineering, information systems, statistics, or related field
• At least 3 years of experience developing ETL/ELT pipelines, SQL scripts, and data transformations
• Experience with relational databases, Python or another scripting language, version control, and scheduling/orchestration tools
• Experience with DHIS2, health data systems, interoperability standards, or data quality processes is preferred
• Strong attention to detail, documentation, and problem-solving skills
• Professional fluency in English

Applications will be accepted on a rolling basis. We encourage you to apply early as the position may close once a suitable candidate is found. Please note that only shortlisted candidates will be contacted.

• Develop, test, deploy, and maintain ETL/ELT pipelines for approved source systems and NDWH data products
• Implement transformations, validation rules, scheduling, exception handling, reconciliation, and automated alerting
• Support migration from fragile manual, file-based, or direct-database processes to approved, monitored exchange patterns
• Maintain pipeline documentation, source-to-target mappings, data dictionaries, logs, runbooks, and version-controlled code
• Investigate pipeline failures, data discrepancies, delayed loads, and quality exceptions; coordinate corrective action with source-system owners
• Support data mart refreshes and the preparation of reliable extracts for dashboards, reporting, and verification
• Participate in peer review, testing, release procedures, and operational handover to MOH/DHI counterparts

• SQL scripts
• Data transformations
• Relational databases
• Python or another scripting language
• Version control
• Scheduling/orchestration tools
• DHIS2 (preferred)
• Health data systems (preferred)
• Interoperability standards (preferred)
• Data quality processes (preferred)
• Attention to detail
• Documentation
• Problem-solving skills

• Bachelor’s degree in computer science, data engineering, information systems, statistics, or related field
• At least 3 years of experience developing ETL/ELT pipelines, SQL scripts, and data transformations
• Experience with relational databases, Python or another scripting language, version control, and scheduling/orchestration tools
• Experience with DHIS2, health data systems, interoperability standards, or data quality processes is preferred
• Strong attention to detail, documentation, and problem-solving skills
• Professional fluency in English