Individual Giving Data Engineer

The Data Engineer will be responsible for designing, building, and maintaining data platforms, cloud infrastructure, and integrations supporting WFP's global individual giving programme. The role includes developing data pipelines, cloud-native services, and ensuring data quality and operational scalability in a fully remote setting.

Responsibilities

• Lead the implementation of IG data strategies aligning with corporate data strategies and standards
• Review existing data flows across Individual Giving, identify gaps and inefficiencies, and design solutions
• Consult with enterprise architecture team to reduce overlaps and optimize reuse of corporate data assets
• Align warehouse implementation with broader IG technical and fundraising architecture
• Support evolution of data and integration architectures, including AI and cloud-native approaches
• Own and drive end-to-end implementation of the data warehouse including modelling and schema design
• Build and maintain scalable ELT pipelines consolidating data from multiple sources
• Lead implementation of new data integrations with agency feeds, external partners, and vendor platforms
• Design and implement data transformation pipelines for performance measurement and reporting
• Integrate data from new acquisition channels and geographic markets
• Design technical solutions for data synchronization across fundraising systems
• Implement data observability and integrity checks with automated monitoring and alerting
• Own root-cause resolution of warehouse-level data issues and document solutions
• Build robust, self-healing pipelines with exception handling and validation
• Maintain data lineage documentation and data dictionaries
• Ensure data handling complies with WFP policies and privacy standards
• Support development and maintenance of reporting capabilities and collaborate with Business Intelligence colleagues
• Develop self-service reporting capabilities for fundraising and operational teams
• Provide resilience across critical reporting activities
• Contribute to design and maintenance of technical environments for data validation and QA
• Support QA processes ensuring accurate and complete data flows
• Act as primary technical contact for data engineering needs across Individual Giving
• Translate analytical and operational requirements into technical specifications
• Support IG Tech & Ops Lead with ad hoc data analysis and knowledge sharing
• Work in coordination with IG tech team, Business Intelligence, CRM and other technical teams
• Develop internal capability by mentoring colleagues and promoting knowledge sharing

Requirements

• University degree in Computer Science, Data Science, Statistics, Information Systems, or a related technical field
• 4–5 years of experience in data engineering, data platform engineering, analytics engineering, or closely related technical disciplines
• Proven experience building and maintaining data pipelines and ETL/ELT workflows in a production environment
• Experience developing dashboards and reports using BI tools such as Tableau, Power BI, Looker, and similar
• Experience working with fundraising, CRM, or marketing data is a strong advantage
• Experience designing and implementing integrations across multiple systems using APIs, middleware platforms, managed services, or bespoke engineering approaches
• Experience evolving data warehouse architectures within live operational environments, balancing modernization with continuity of reporting and operational needs
• Experience in UN or international development organizations is an asset
• Strong proficiency in SQL; experience with Python or similar scripting languages for data transformation
• Hands-on experience with cloud-based data platforms, particularly Redshift and associated AWS services used to support data engineering and integration workloads
• Familiarity with technologies supporting server-side data collection and activation (e.g. server-side GTM, Conversion APIs, event collection architectures) would be advantageous
• Familiarity with modern data stack tools such as dbt, Airflow, Azure Devops, or similar orchestration and transformation tools
• Strong ability to translate complex data requirements into clear, reliable, and user-friendly dashboard outputs
• Solid understanding of data modelling principles, data governance, and data quality management
• Knowledge of GDPR and data privacy principles as applied to fundraising and CRM data
• Excellent analytical, problem-solving, and critical thinking skills, with a strong eye for detail
• Ability to work independently in a fully remote environment, managing multiple deliverables and deadlines
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
• Experience providing technical leadership, mentoring, or guidance to less experienced colleagues would be advantageous
• Demonstrates a proactive, solutions-oriented mindset committed to delivering results and continuous improvement
• Excellent written and spoken English is required
• Knowledge of another official UN language would be a plus

Skills

• Data Engineering
• Data Platform Engineering
• ETL Workflows
• ELT Workflows
• Dashboard Development
• Tableau
• Power BI
• Looker
• Fundraising Data Support
• CRM Data Management
• API Integration
• Middleware Platforms
• Data Warehouse Schema Design
• SQL
• Python Scripting
• Cloud data platforms
• AWS Redshift
• AWS Services
• Server-side Data Collection
• Conversion APIs
• Event Collection Architecture
• dbt
• Airflow
• Azure DevOps
• Data Modelling
• Data Governance
• Data Quality Processes
• GDPR Compliance
• Technical Leadership

Languages

English