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 Data Engineering Lead provides technical leadership for NDWH stabilization, source-to-warehouse pipelines, data model performance, data quality, lineage, and data mart development. The position works jointly with MOH/DHI and existing NDWH teams to ensure the warehouse reliably supports national analytics, dashboards, Joint Results Framework reporting, verification evidence, and operational decision-making.

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 Technical Director, Interoperability & HIE Architect, DART

This role will supervise 1-4 staff members

Primary Responsibilities:

• Lead the NDWH stabilization plan, including performance tuning, storage and query optimization, indexing, data modeling, pipeline reliability, and operational monitoring
• Oversee design and operation of scalable ingestion pipelines from priority EMR, DHIS2/eHMIS, eIDSR, eCHIS, laboratory, supply-chain, and other approved source systems
• Establish data-quality controls for schema validity, completeness, duplication, master-data validity, referential integrity, and reconciliation
• Develop documented source-to-report lineage, metadata, data dictionaries, transformation logic, and reproducible reporting processes
• Support development of verified indicator data marts, dashboards, and data products for JRF reporting, milestone evidence, and MOH decision-making
• Manage technical work of ETL engineers and collaborate with analytics, data quality, cybersecurity, and interoperability staff
• Implement monitoring for pipeline success, latency, data freshness, failures, queue depth, and data-quality exceptions
• Mentor MOH and Ugandan partner engineers in warehouse operations, optimization, documentation, and incident response

Qualifications and Experience:

• Bachelor’s or Master’s degree in data engineering, computer science, information systems, statistics, or related field
• At least 7 years of experience in data engineering, data warehousing, ETL/ELT, or analytics engineering
• Strong skills in SQL, data modeling, performance tuning, data integration, metadata management, and data-quality assurance
• Experience with health data warehouses, DHIS2, EMRs, supply-chain data, or national reporting systems is highly desirable
• Familiarity with Python, orchestration tools, streaming data, BI platforms, and cloud or on-premise data infrastructure is preferred
• Strong leadership, mentoring, and English communication skills

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.

• Lead the NDWH stabilization plan, including performance tuning, storage and query optimization, indexing, data modeling, pipeline reliability, and operational monitoring
• Oversee design and operation of scalable ingestion pipelines from priority EMR, DHIS2/eHMIS, eIDSR, eCHIS, laboratory, supply-chain, and other approved source systems
• Establish data-quality controls for schema validity, completeness, duplication, master-data validity, referential integrity, and reconciliation
• Develop documented source-to-report lineage, metadata, data dictionaries, transformation logic, and reproducible reporting processes
• Support development of verified indicator data marts, dashboards, and data products for JRF reporting, milestone evidence, and MOH decision-making
• Manage technical work of ETL engineers and collaborate with analytics, data quality, cybersecurity, and interoperability staff
• Implement monitoring for pipeline success, latency, data freshness, failures, queue depth, and data-quality exceptions
• Mentor MOH and Ugandan partner engineers in warehouse operations, optimization, documentation, and incident response

• SQL
• Data modeling
• Performance tuning
• Data integration
• Metadata management
• Data-quality assurance
• Python (preferred)
• Orchestration tools (preferred)
• Streaming data (preferred)
• BI platforms (preferred)
• Cloud or on-premise data infrastructure (preferred)
• Leadership
• Mentoring
• English communication

• Bachelor’s or Master’s degree in data engineering, computer science, information systems, statistics, or related field
• At least 7 years of experience in data engineering, data warehousing, ETL/ELT, or analytics engineering
• Experience with health data warehouses, DHIS2, EMRs, supply-chain data, or national reporting systems is highly desirable