[Hiring] Data Engineering Consultant @AGORA

Role Description

This assignment aims to strengthen UNICEF’s MNCAH data and analytics systems by:

• Maintaining and expanding the global MNCAH database
• Improving data workflows
• Supporting global reporting and SDG monitoring
• Developing data pipelines, dashboards, and analytics products
• Providing technical support to country offices and ministries of health
• Strengthening the use of health data for programme planning and decision-making

Qualifications

• A bachelor’s degree in computer science, Data Science, Big Data, Engineering, Applied Statistics, Bioinformatics, or a closely related computational field
• Additional certifications or training in data engineering, data visualization, or advanced statistical methods using R is an asset

Requirements

• A minimum of 5 years of progressively responsible professional experience in data science, data engineering, or health data analytics
• Proven experience applying advanced data techniques to public health or development contexts
• Experience supporting decision-makers in the use of data for decision-making, particularly in low- and middle-income countries
• Familiarity with global health indicator frameworks, especially those related to maternal health, newborn health, child health, primary health care, and health systems performance
• Excellent written and oral communication of technical content in English
• Proficiency in another UN language is highly desirable

Skills

• Demonstrated experience in designing and maintaining reproducible data pipelines and automated reporting tools using R
• Handling large, complex datasets, particularly routine health information system (RHIS) data (e.g., DHIS2), administrative datasets, or survey data (e.g., DHS, MICS)
• Developing statistical models and conducting data quality assessments (e.g., imputation, outlier detection, validation)
• Building interactive dashboards and data visualizations using R or Python packages
• Supporting version control workflows using GitHub, GitLab, or other collaborative platforms

Desirables

• Experience working with cloud-based database systems (e.g., Azure Postgres, AWS RDS) and building ETL pipelines that integrate geospatial and facility-level data
• Understanding of data governance, privacy, and ethical use of health data
• Proven ability to work in a multicultural, interdisciplinary team and coordinate across HQ, regional, and country levels
• Prior experience contributing to capacity-building efforts through trainings, documentation, or mentoring is a strong asset

Application Process

Qualified candidates are invited to submit the following documents via the online recruitment portal, TMS (Talent Management System):

• An up-to-date TMS profile and curriculum vitae (CV)
• Cover letter
• A separate financial proposal

UNICEF does not charge a processing fee at any stage of its recruitment, selection, and hiring processes.