Data Engineer Specialist

Under the overall guidance and direct supervision of Programme Management Officer, the UNV will work in close collaboration with the Strategic Planning Unit, ensuring timely support in carrying out normative work of the Unit which includes the Department's Performance Measurement, Enterprise Risk Management, Strategic Foresight, and other cross-cutting areas of programme management, research, and analysis.

Within the delegated authority and under the supervision of a Programme Management Officer or his/her designated mandated representative(s), the UN Volunteer Data Engineer Specialist will:

• Design, develop, and maintain organizational data platforms, data pipelines, and integration frameworks.

• Build and manage data solutions using Microsoft Fabric, Azure Data Services, Power Platform, and related technologies to enable analytics, dashboards, reporting, automation, and decision-support capabilities.
• Develop and integrate AI-powered solutions, including chatbots and intelligent assistants, leveraging organizational data to provide insights, and analytics for strategic workforce decisions.

• Collaborate with business stakeholders to translate requirements into scalable, production-ready solutions while ensuring data governance, security, privacy, and compliance standards are met.

• Monitor, optimize, and continuously enhance data and AI platforms to improve performance, reliability, scalability, reporting capabilities, and evidence-based decision-making.

• Implement solutions to data-related technical problems and data infrastructure updates.

• Extract data features from complex datasets for data scientists and data analysts.

• Understand new data sources and process pipelines, assist in cataloguing/documenting as needed.

• Apply various ML and advanced analytics techniques to perform classifications or prediction tasks.

• Assist in the testing of various data science models, such as cross-validation, A/B testing, bias, and fairness.

• Contributes to the design and develops data science products to reveal insights and provides an understanding or knowledge of the data that would otherwise not be detected without the application of advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and use of relevant algorithms and computational approaches.

• Contributes to the design and develops customized visualization and presentation products to reveal the findings of analysis for clients, suitable for all forms of production including briefings, reports, documentation to oversight bodies, interactive interfaces, and publication quality outputs.

• Perform other duties as assigned.