Information and Communications Technology (ICT) Associate (Data Engineer) (GS)

Introduction

Established in 1951, IOM is a Related Organization of the United Nations and the leading UN agency in the field of migration. Working closely with governmental, intergovernmental and non-governmental partners, IOM promotes humane and orderly migration for the benefit of all. It saves lives and protects people on the move, drives solutions to displacement, and facilitates pathways for regular migration, while providing services and advice to governments and migrants.

IOM is committed to fostering a respectful, inclusive and supportive workplace where all employees can thrive professionally and feel valued. By creating such an environment, IOM aims to better harness the full potential of migration and strengthen its support to people on the move.

IOM invites candidates from diverse backgrounds to apply and provides reasonable accommodation throughout the recruitment process when required. Learn more about IOM’s workplace culture at IOM workplace culture | International Organization for Migration

Project Context and Scope

The ICT Department partners with programmes and stakeholders across IOM to support, enable, and facilitate delivery of the Organization’s mandate through the strategic use of technology and innovative digital solutions. In recent years, data and analytics have become a critical area of investment, with IOM progressively adopting modern data platforms to enhance decision-making, operational efficiency, and the design of migrant-focused services.

As part of this effort, IOM has developed a central Microsoft Fabric platform in collaboration with Microsoft, serving as the foundation for its enterprise-wide data ecosystem. However, data stewardship and ownership are now distributed across various departments, requiring a collaborative, cross-functional approach to ensure data is effectively integrated and made available for actionable insights.

This Information and Communications Technology (ICT) Associate (Data Engineer) falls under the overall supervision of the ICT Officer (Data Analyst) and will work closely with them to identify and integrate relevant data assets into the Microsoft Fabric platform. The role plays a key part in enabling secure, high-quality, and scalable data integration to support IOM’s digital transformation and evidence-based programming.

Organizational Department / Unit to which the Consultant is contributing

ICT Department - Data, AI and BI Unit.

Responsibilities

Category A Consultant: Tasks to be performed under this contract

1. Design and Implement Data Solutions: Develop and manage data pipelines, data analysis, and data visualization using Microsoft Fabric and Microsoft Azure Data Solution Tools.
2. Collaborate with Stakeholders: Work closely with analytics engineers, architects, analysts, and administrators to design and deploy data engineering solutions for analytics.
3. Develop and Optimize ETL Processes: Create and maintain ETL/ELT processes within the Microsoft Azure ecosystem, effectively utilizing relevant Fabric solutions.
4. Ensure Data Integrity and Governance: Implement data governance, security, and compliance measures throughout Microsoft Fabric environments.
5. Monitor, Troubleshoot and Optimize Analytics Solutions: Continuously monitor and fine-tune data pipelines and processing workflows to enhance overall performance and efficiency.
6. Facilitate Solution Adoption and Change Readiness: Lead planning and coordination for cutover, onboarding, and working with the managed services partner.
7. Optimize data ingestion and processing pipelines by monitoring and managing capacity unit (CU) utilization to improve performance, reduce costs, and ensure efficient use of platform resources.
8. Configure and manage data gateways and connections to enable secure, reliable, and efficient access to data sources, while supporting users in troubleshooting and optimizing connectivity.
9. Perform other duties as assigned.

Performance indicators for the evaluation of results

• Documentation of the platform data engineering activities.
• Deliver mission/unit-level data analytics and solutions.
• Design Key metrics from mission data available through a gold layer, ready for analysts to build dashboards.
• Progress reports detailing activities and progress generated.