Software developer-Technical Components Integration for a Real-Time Predictive Model

The consultancy aims to provide specialized technical support to strengthen and integrate the existing prototype of a real-time predictive model for assessing the situation of children in emergencies in the Caribbean Basin. The consultant will consolidate reusable technical components into a sustainable, interoperable, and modular solution for emergency preparedness and response decision-support products.

Responsibilities

• Review the current prototype and related assets, identify technical gaps and integration needs.
• Lead the consolidation of reusable components into modular, interoperable, and sustainable architecture.
• Translate agreed technical requirements into an operational solution aligned with institutional architecture.
• Prepare and present progress updates and participate in periodic follow-up meetings.
• Incorporate technical feedback and adjust implementation plans to meet agreed milestones.
• Document changes and ensure all outputs respond to operational needs and are suitable for review, validation, and approval by UNICEF and counterparts.

Requirements

• Master's degree from a recognized university in systems/software engineering, computer science, data engineering, artificial intelligence, geospatial analytics, data science, or another relevant technical field.
• Minimum experience required: three years with a master’s degree in data engineering, computer/data science, artificial intelligence, and/or analytical solution development.
• Experience as a data engineer, including ETL/data pipelines, cloud data infrastructure, near real-time processing, and data exposure through APIs or structured outputs.
• Experience as a full-stack or geospatial software engineer, including connecting pipelines to usable products such as web maps, dashboards, APIs, automated reports, alerts, and user-oriented outputs.
• Experience developing workflows that translate hazard, exposure, vulnerability, and contextual data into decision-support outputs for preparedness, anticipatory action, emergency response, and post-event analysis.
• Experience developing interactive graphs, visualizations, and geospatial decision-support products for both technical and non-technical teams.
• Experience developing LLM or applied AI workflows.
• Applied research and prototyping experience.
• Experience working with humanitarian, climate risk, disaster risk, child-focused, or public-sector data use cases.
• English: Proficient.
• Spanish: Fluent.
• Proven experience in data engineering, computer/data science, artificial intelligence, and/or the development of analytical solutions, including model design, data cleaning, integration, and quality assurance.
• Strong Python skills are required, including experience with libraries such as Pandas, NumPy, and GeoPandas.
• Knowledge of geospatial data and GIS processes, including rasters, shapefiles, common geospatial data formats, projections, coordinate reference systems, spatial joins, and zonal statistics.
• Ability to improve and integrate exposure and hazard workflows beyond a single hazard, such as incorporating winds, floods, and landslides according to agreed priorities, using geospatial data standards and best practices.
• Ability to document methods and technical decisions, including data dictionaries, code repositories, guides, and diagrams, and ensure transparency, auditability, and reuse by UNICEF teams and partners.
• Knowledge and application of visual design, accessibility, usability, performance optimization, publishing/deployment, and data governance principles for analytics and geospatial decision-support products.
• Knowledge of tools and technologies such as Snowflake, Azure, Databricks, Dash, Plotly, Streamlit, Leaflet, Mapbox, JavaScript, and other frontend/open-source technologies is an asset.
• Knowledge of LLMs and applied AI workflows, including prompt design, information retrieval, generation of summaries or briefs, guardrails, evaluation, benchmarking, and source traceability.
• Previous experience with UNICEF or other United Nations entities is a strong plus.

Skills

• Data Engineering
• ETL Pipelines
• Cloud Data Infrastructure
• Near Real-Time Processing
• API Development
• Full-Stack Software Engineering
• Geospatial Software Engineering
• Web Map Development
• Dashboard Development
• Automated Reporting Tools
• Alert Systems
• Decision-Support Systems
• Interactive Data Visualization
• Geospatial Decision Support
• LLM Workflow Development
• Applied Artificial Intelligence
• Prototyping
• Humanitarian data analysis
• Climate Risk Data Analysis
• Disaster Risk Data Analysis
• Python Programming
• Pandas
• NumPy
• Geopandas
• Geospatial Data Processing
• GIS
• Raster Data
• Shapefiles
• Spatial Analysis
• Coordinate Reference Systems
• Spatial Joins
• Zonal Statistics
• Exposure and Hazard Workflow Integration
• Technical Documentation Production
• Data Dictionary Development
• Code Repository Management
• Visual Design Principles
• Accessibility Standards
• Usability Optimization
• Performance Optimization
• Data Governance
• Snowflake
• Azure
• Databricks
• Dash
• Plotly
• Streamlit
• Leaflet
• MapBox
• JavaScript
• Prompt Design
• Information Retrieval
• Summary Generation
• Evaluation and Benchmarking
• Source Traceability

Languages

English, Spanish