E T Consultant

At the World Bank, a member of the World Bank Group (WBG), you’ll join a diverse, global community working across cultures, disciplines, and borders to address the world’s most pressing development challenges. With 1.2 billion young people reaching working age in the decade ahead, the challenge of job creation has never been greater. Through partnerships across 145 countries and more than 182 offices worldwide, we work with governments, private sector, development partners and other stakeholders to invest in people, strengthen markets, and deliver scalable, data-driven solutions that generate more and better jobs and improve lives. For more information, visit International Bank for Reconstruction and Development The Development Economics Vice Presidency (DEC) is the World Bank’s central reservoir of fresh insights into the most pressing challenges of development. It is led by the Chief Economist and Senior Vice President of the World Bank Group, who advises the President and senior managers, serves as the community leader for the WBG’s economists, and helps to keep the institution in the forefront of thinking about development policy. DEC constitutes one of the world’s largest teams of economists focused on policy solutions for developing economies. The mission of the Office of the World Bank Chief Statistician and Director of the Development Data Group (DECDG) is to put data to work for development. DECDG provides technical expertise and support both internally and to countries with a range of data and statistics priorities, including development indicators, methods, standards, and tools for data work; support for data governance; and promotion of better use and management of development data. DECDG prizes innovation and partnership, validating and incorporating new technologies, working closely with partners, and serving as an interface to the global development data community. This position is in the Data Management Services team within the Data Governance unit (DECGT) of the Development Economics Data Group (DECDG). Expanding and modernizing development data production, management and governance in support of the World Bank Knowledge Compact, ensuring World Bank is a “data bank” is critical to our mission. To address this, the Data Management Services team is leading Data360, the Bank’s central development data production and dissemination framework to improve accessibility, management and dissemination of the WBG’s own data assets; and production of high-quality statistical indicators and data products to help improve development outcomes. Following its launch in 2025, Data360 has rapidly become the source of truth for WBG development data, containing data from over 200 sources and supporting a network of subject-specific “microsites” and operational products. The platform is also expanding in scope to support subnational and geospatial datasets and developing governed workflows for data quality assurance in data production. To advance this work, DECDG seeks an experienced Data Engineer to support the design and implementation of the Data360 data production and dissemination system.

Duties and Accountabilities

DECDG is seeking a dynamic individual to support Data360’s development and operation. The ideal candidate will excel at building data management frameworks and ETL pipelines within Azure Databricks, producing clear, well documented code, and have strong familiarity with the SDMX information model. Joining the team as an Extended Term Consultant (ETC), you will assist in building, maintaining and operationalizing new and existing data pipelines, developing and rolling out the next generation of data production, management and quality tools for the World Bank. This position will require excellent technical data science skills, solid software development practices and the ability to engage and work with diverse teams to identify business requirements and develop innovative solutions for their data management needs. We are looking for a candidate who can advance our frameworks and architecture, develop data quality and management systems and support teams to effectively adopt new approaches, tools, and solutions. Specific duties will include, but are not limited to:

• Developing and maintaining automated extract/transform/load (ETL) flows to ingest and transform data from a variety of sources for both internal and external use.
• Developing tools and processes that provide simple and effective methods for ensuring data and metadata quality.
• Design and implement reusable functions, packages and libraries to support robust, automated data pipelines that extract, transform, validate and load information in multiple information systems using Python or R.
• Follow CI/CD processes and policies for managing code repositories, issue tracking and pipeline orchestration for DECDG-managed data processes.
• Support transition of legacy systems and processes to modern statistical approaches, developing migration scripts and functionality on top of SDMX systems.
• Curating datasets and documenting and automating curation processes to ensure data is updated regularly, data quality and accuracy is maintained, and metadata are created and managed in accordance with set standards.
• Developing and improving guidance and best practices for pipeline development and operation, metadata, data management processes, data quality assurance, storage and dissemination of data for both internal and external use.
• Supporting dissemination of data and data products via visualization, APIs and other means.