E T Consultant (Associate Data Engineer)

Do you want to build a career that is truly worthwhile? Working at the World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 130 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit www.worldbank.org ITS Vice Presidency Context The Information and Technology Solutions (ITS) Vice Presidential Unit (VPU) enables the World Bank Group to achieve its mission of ending extreme poverty and boost shared prosperity on a livable planet by delivering transformative information and technologies to its staff working in over 150+ locations. For more information on ITS, see this video: https://www.youtube.com/watch?reload=9 v=VTFGffa1Y7w Department Context ITS Operations and Country Engagement Department (ITSOE) delivers innovative products and services to frontline staff working on over 6,000 projects throughout every Region and Global Practice. Our teams support and enable Bank priorities, boost operations efficiency and effectiveness and facilitate Operational knowledge discovery. Our delivery model leverages global expertise, design and architecture, leading technology, and robust processes to deliver business solutions that ensure value for money. Unit Context The ITS Country Engagement unit (ITSCE) delivers digital support for global and country-specific products, supports systems aligned with the new Country Engagement model,and provides geospatial solutions for geo-tagging of projects to improve spatial visibility and impact tracking. It also drives the delivery of AI-powered business solutions to support business priorities and accelerate data-driven decision-making across the institution. The Associate Data and AI Engineer plays a critical role in the delivery of geospatial solutions and capabilities, supporting high-impact technology initiatives that serve a broad World Bank Group operational user base. To support this effort, ITSCE seeks an experienced data professional to join the Geospatial Solutions team. The position is responsible for designing, developing, and maintaining scalable data pipelines that ingest, transform, validate, and publish geospatial and non-geospatial data from a wide range of internal and external sources. The role requires strong expertise in data engineering, geospatial data management, ETL/ELT frameworks, data quality assurance, and data integration practices to ensure trusted, discoverable, and reusable datasets across the platform ecosystem. Within ITSCE, the Data Engineer will support the delivery of the unit’s work program by building and optimizing data infrastructure that powers geospatial products, analytics, and operational decision-making. Working with limited supervision, the incumbent will develop and maintain automated data pipelines, streamline data acquisition processes, implement data validation and quality controls, and improve the reliability, performance, and scalability of geospatial data services. The role will collaborate closely with business stakeholders, GIS specialists, product managers, and technology teams to gather and translate data requirements into sustainable engineering solutions. Specific Responsibilities • Analyze and conduct validation and cleansing processes, ensuring the integrity and quality of geospatial and non‑geospatial data (including spatial attributes, coordinates, projections, and metadata). • Optimize the implementation of automated testing and monitoring solutions to proactively identify and resolve data quality issues, including spatial data quality checks (e.g., geometry validity, missing coordinates, topology consistency, schema drift). • Optimize data pipelines to efficiently gather, process, and store large datasets, including spatial datasets required for platform and digital twin capabilities (e.g., feature services, geo‑tagging datasets, reference layers). • Maintain the data infrastructure and data platforms, addressing issues promptly to reduce downtime and ensure reliable availability of geospatial data products and services. • Participate in agile ceremonies to align data engineering efforts with project goals. • Collaborate with data scientists, analysts, GIS specialists, and product owners to understand data requirements and deliver solutions that drive business value, including translating operational needs into geospatial data models and integration requirements. • Analyze and maintain comprehensive documentation for data processes, pipelines, and systems to facilitate knowledge sharing and compliance.