Individual Giving Data Engineer

Organizational Context

The World Food Programme (WFP) is the world's largest humanitarian organization, dedicated to saving lives and building a pathway to peace and prosperity. WFP assists 90 million people annually in 83 countries, working to combat hunger and malnutrition. The Private Partnerships Division (PSP) is crucial for securing private sector support, aiming to raise significant funds through corporate partnerships and individual donors.

Job Purpose

The Individual Giving Data Engineer will be responsible for designing, building, and maintaining the data platforms, cloud infrastructure, and integrations that support WFP's global individual giving programme. This role is pivotal in evolving WFP's fundraising data capabilities by developing robust pipelines, integrations, and cloud-native services. The Data Engineer will ensure data quality, pipeline reliability, and operational scalability, while reducing dependency on external suppliers by developing in-house capabilities. Key responsibilities include owning the end-to-end implementation of the data warehouse, building scalable ELT pipelines, leading new data integrations, and implementing comprehensive data observability and integrity checks. The role will also support reporting and dashboard development, collaborate with Business Intelligence teams, and translate stakeholder requirements into technical solutions.

Responsibilities

The World Food Programme (WFP) is seeking a Data Engineer for its global individual giving program. This role is crucial for designing, building, and maintaining the data platforms, cloud infrastructure, and integrations that support fundraising efforts. The Data Engineer will be responsible for developing robust data pipelines, cloud-native services, and evolving the data warehouse to enhance WFP's fundraising data capabilities. Key accountabilities include owning the end-to-end implementation of the data warehouse, including data modeling and schema design. They will build and maintain scalable ELT pipelines to consolidate data from various fundraising platforms, CRMs, payment processors, and marketing channels. The role also involves leading the implementation of new data integrations with external partners and vendors, ensuring reliable data movement. A significant focus will be on data observability, quality, and integrity, implementing checks and root-cause resolution for data issues to ensure accuracy and prevent recurrence. The Data Engineer will also support reporting and dashboard development by providing reliable datasets and collaborating with Business Intelligence teams. They will contribute to QA processes, ensuring data accuracy and completeness across the fundraising ecosystem, and act as a primary technical contact for data engineering needs within the Individual Giving team. This position requires translating non-technical requirements into technical specifications and delivering solutions iteratively.

Work Experience

The role requires experience in designing, building, and maintaining data platforms, cloud infrastructure, and integrations to support a global individual giving program. Responsibilities include developing data pipelines, cloud-native services, and evolving data warehouses. The position also involves ensuring data quality, pipeline reliability, and operational scalability, with a focus on root-cause resolution for data issues and maintaining data lineage documentation. Collaboration with business intelligence and fundraising teams is essential for reporting and analytical capabilities.

Skills

Data Engineering, Cloud Infrastructure, Data Warehousing, ETL/ELT Pipeline Development, Data Modeling, Data Integration, Data Observability, Data Quality Assurance, Reporting and Dashboarding, Technical Collaboration, Problem Solving, Agile Development

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