ICT Associate
Giga, New York, NY, United States
General Information
Position Title: ICT Associate - Geospatial Data Engineer
Job Category: Information and Communications Technology
Duty Station(s): Valencia
Seniority Level: Associate
ICS Level: 06
Contract Type: Staff - GS - FTA
Contract Level: GS-6
Posting Start Date: 21-Apr-2026
Posting End Date: 05-May-2026
Duration: One year renewable subject to positive performance, availability of funds and project needs
Job Highlight Under the overall supervision of the UNOPS Senior Programme Manager, this position is in the United Nations Information and Communications Technology Facility (UNICTF) in Valencia, Spain.
The incumbent will work under the guidance of the Chief, Data Management Unit and direct supervision of ICT Senior Officer – GIS (UNOPS) or designated officer.
The incumbent will be a staff member of UNOPS under its full responsibility.
THIS IS A LOCAL POSITION FOR WHICH ONLY APPLICANTS WHO ARE SPANISH OR EUROPEAN UNION CITIZENS OR APPLICANTS WHO POSSESS A VALID RESIDENCE AND WORK PERMIT IN SPAIN ARE ELIGIBLE FOR CONSIDERATION.
Job Specific Context The Department of Operational Support (DOS) delivers the Information and Communications Technology (ICT) infrastructure, systems and software for UN peacekeeping missions and other units. The UN Global Service Center (UNGSC) provides logistics, geospatial, and telecommunications services. The Service for Geospatial, Information and Telecommunications Technologies (SGITT) supports field operations with reliable, innovative geospatial, communications and IT services.
Within SGITT, the Client Solutions Delivery Section (CSDS) designs and delivers geospatial solutions, with the Data Management Unit (DMU) governing engineering and delivery of geospatial and IoT‑enabled data services across UN operations.
Role Purpose The ICT Associate – Geospatial Data Engineer ensures reliable, timely and quality‑controlled geospatial and IoT data delivery, managing data pipelines, datasets and services for operational systems and decision‑making across UN field missions.
Functions / Key Results Expected
Analysis and Data Engineering
Design, develop and maintain end‑to‑end geo‑enabled IoT data pipelines.
Develop and manage data models, datasets, repositories (data lakes/lakehouses).
Process large‑scale structured, semi‑structured and time‑series IoT data from industrial platforms.
Apply spatial and temporal analysis techniques to detect patterns and operational insights.
Ensure datasets are geo‑referenced, standardised and documented.
Deliver analytics‑ready datasets and data services to support operational systems.
Innovation and Data Integration
Implement and optimise ETL/ELT workflows and data integration pipelines.
Integrate real‑time and near real‑time IoT streams into enterprise geospatial platforms.
Use automation, scripting and best practices to improve performance and maintainability.
Support evolution of modern data architectures (lake, warehouse, lakehouse) in cloud or hybrid environments.
Collaborate with cross‑functional teams to design interoperable data solutions.
Data Quality, Maintenance and Reporting
Implement and enforce data quality frameworks, validation rules and monitoring mechanisms.
Monitor and troubleshoot data pipelines for integrity and continuity.
Maintain datasets, databases and services per governance, metadata and security standards.
Produce dashboards, reports and geospatial services from curated data.
Prepare and maintain technical documentation, workflows and SOPs.
Support quality assurance and peer review processes.
Skills
Business Analysis
Data Management
Data Engineering
IoT Infrastructure
Competencies
Respect and sensitivity to diversity, fostering inclusive environment.
Strong collaboration, supporting team development.
Initiative and adaptability in fast‑paced environments.
Analytical reasoning with data‑driven decision making.
Clear, concise communication and active listening.
Education Requirements Required
Secondary school (or equivalent) with 6 years of relevant experience, or
Bachelor’s degree (or equivalent) in any discipline with 2 years of relevant experience.
Desired
Certifications in data engineering, cloud platforms or data architecture (e.g., Microsoft Azure Data Engineer, AWS Data Analytics, Google Professional Data Engineer).
Certifications or training in data quality, governance or geospatial technologies.
Experience Requirements Required
Experience in data engineering, pipelines and data platform management.
Designing and maintaining end‑to‑end ETL/ELT pipelines, and working with data lake/warehouse or lakehouse architecture.
Hands‑on with geo‑enabled IoT data, near real‑time or streaming processing, and industrial time‑series platforms.
Proficiency in Python, SQL and data processing frameworks (e.g., Spark).
Desired
Experience with geospatial data engineering, spatial databases and GIS platforms (e.g., ArcGIS Enterprise).
Experience with streaming technologies (e.g., Kafka, Event Hubs).
Experience with data governance, metadata management and data catalogues.
Familiarity with UN or large‑scale operational environments.
Experience supporting analytics platforms, dashboards, or data services.
Experience delivering scalable, performance‑optimised data solutions in cloud or hybrid environments.
Strong data quality management experience.
Language Requirements
English – Fluent (Required)
French – Fluent (Desirable)
Spanish – Fluent (Desirable)
Additional Information
UNOPS embraces diversity and is committed to equal employment opportunity. The workforce is diverse in nationality, culture, language, race, gender identity, sexual orientation and ability. UNOPS seeks to promote equal chances and an inclusive environment.
Candidates will be assessed on the skills, qualifications and experience outlined. Short‑listed candidates will be contacted for further assessment.
All candidates are encouraged to inform UNS personnel if reasonable accommodations are necessary for assessment.
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Job Category: Information and Communications Technology
Duty Station(s): Valencia
Seniority Level: Associate
ICS Level: 06
Contract Type: Staff - GS - FTA
Contract Level: GS-6
Posting Start Date: 21-Apr-2026
Posting End Date: 05-May-2026
Duration: One year renewable subject to positive performance, availability of funds and project needs
Job Highlight Under the overall supervision of the UNOPS Senior Programme Manager, this position is in the United Nations Information and Communications Technology Facility (UNICTF) in Valencia, Spain.
The incumbent will work under the guidance of the Chief, Data Management Unit and direct supervision of ICT Senior Officer – GIS (UNOPS) or designated officer.
The incumbent will be a staff member of UNOPS under its full responsibility.
THIS IS A LOCAL POSITION FOR WHICH ONLY APPLICANTS WHO ARE SPANISH OR EUROPEAN UNION CITIZENS OR APPLICANTS WHO POSSESS A VALID RESIDENCE AND WORK PERMIT IN SPAIN ARE ELIGIBLE FOR CONSIDERATION.
Job Specific Context The Department of Operational Support (DOS) delivers the Information and Communications Technology (ICT) infrastructure, systems and software for UN peacekeeping missions and other units. The UN Global Service Center (UNGSC) provides logistics, geospatial, and telecommunications services. The Service for Geospatial, Information and Telecommunications Technologies (SGITT) supports field operations with reliable, innovative geospatial, communications and IT services.
Within SGITT, the Client Solutions Delivery Section (CSDS) designs and delivers geospatial solutions, with the Data Management Unit (DMU) governing engineering and delivery of geospatial and IoT‑enabled data services across UN operations.
Role Purpose The ICT Associate – Geospatial Data Engineer ensures reliable, timely and quality‑controlled geospatial and IoT data delivery, managing data pipelines, datasets and services for operational systems and decision‑making across UN field missions.
Functions / Key Results Expected
Analysis and Data Engineering
Design, develop and maintain end‑to‑end geo‑enabled IoT data pipelines.
Develop and manage data models, datasets, repositories (data lakes/lakehouses).
Process large‑scale structured, semi‑structured and time‑series IoT data from industrial platforms.
Apply spatial and temporal analysis techniques to detect patterns and operational insights.
Ensure datasets are geo‑referenced, standardised and documented.
Deliver analytics‑ready datasets and data services to support operational systems.
Innovation and Data Integration
Implement and optimise ETL/ELT workflows and data integration pipelines.
Integrate real‑time and near real‑time IoT streams into enterprise geospatial platforms.
Use automation, scripting and best practices to improve performance and maintainability.
Support evolution of modern data architectures (lake, warehouse, lakehouse) in cloud or hybrid environments.
Collaborate with cross‑functional teams to design interoperable data solutions.
Data Quality, Maintenance and Reporting
Implement and enforce data quality frameworks, validation rules and monitoring mechanisms.
Monitor and troubleshoot data pipelines for integrity and continuity.
Maintain datasets, databases and services per governance, metadata and security standards.
Produce dashboards, reports and geospatial services from curated data.
Prepare and maintain technical documentation, workflows and SOPs.
Support quality assurance and peer review processes.
Skills
Business Analysis
Data Management
Data Engineering
IoT Infrastructure
Competencies
Respect and sensitivity to diversity, fostering inclusive environment.
Strong collaboration, supporting team development.
Initiative and adaptability in fast‑paced environments.
Analytical reasoning with data‑driven decision making.
Clear, concise communication and active listening.
Education Requirements Required
Secondary school (or equivalent) with 6 years of relevant experience, or
Bachelor’s degree (or equivalent) in any discipline with 2 years of relevant experience.
Desired
Certifications in data engineering, cloud platforms or data architecture (e.g., Microsoft Azure Data Engineer, AWS Data Analytics, Google Professional Data Engineer).
Certifications or training in data quality, governance or geospatial technologies.
Experience Requirements Required
Experience in data engineering, pipelines and data platform management.
Designing and maintaining end‑to‑end ETL/ELT pipelines, and working with data lake/warehouse or lakehouse architecture.
Hands‑on with geo‑enabled IoT data, near real‑time or streaming processing, and industrial time‑series platforms.
Proficiency in Python, SQL and data processing frameworks (e.g., Spark).
Desired
Experience with geospatial data engineering, spatial databases and GIS platforms (e.g., ArcGIS Enterprise).
Experience with streaming technologies (e.g., Kafka, Event Hubs).
Experience with data governance, metadata management and data catalogues.
Familiarity with UN or large‑scale operational environments.
Experience supporting analytics platforms, dashboards, or data services.
Experience delivering scalable, performance‑optimised data solutions in cloud or hybrid environments.
Strong data quality management experience.
Language Requirements
English – Fluent (Required)
French – Fluent (Desirable)
Spanish – Fluent (Desirable)
Additional Information
UNOPS embraces diversity and is committed to equal employment opportunity. The workforce is diverse in nationality, culture, language, race, gender identity, sexual orientation and ability. UNOPS seeks to promote equal chances and an inclusive environment.
Candidates will be assessed on the skills, qualifications and experience outlined. Short‑listed candidates will be contacted for further assessment.
All candidates are encouraged to inform UNS personnel if reasonable accommodations are necessary for assessment.
#J-18808-Ljbffr