E T Consultant
Job #:
req38907
Organization:
World Bank
Sector:
Economics
Grade:
EC1
Term Duration:
1 year 0 months
Recruitment Type:
Local Recruitment
Location:
Washington, DC,United States
Required Language(s):
English
Preferred Language(s):
Closing Date:
10/30/2026 (MM/DD/YYYY) at 11:59pm UTC
Description
VPU Context: 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.
Unit Context: 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 and the Development Data Hub (DDH) to improve accessibility, management and dissemination of the WBG's own data assets; and production of high-quality statistical 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. The Development Data Hub supports over 10000 datasets covering time series, microdata and geospatial data. To advance this work, DECDG seeks an experienced Data Engineer to support the design and implementation of the Data360 and DDH data production and dissemination system, and various microsites.
Duties and accountabilities: DECDG is seeking a dynamic individual to support Data360 and DDH'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 and geospatial data. Joining the team as an Extended Term Consultant (ETC), they 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 and supporting Bank teams in data management and dissemination.
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 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.
• 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 approaches, developing migration scripts and functionality on top of SDMX systems and geospatial services.
• 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, particularly for the Global Food and Nutrition Security dashboard.
Selection Criteria
• Master's degree in computer or data science, statistics, mathematics, or a related field.
• At least, two years of relevant professional experience in data engineering, with demonstrated experience building large-scale end-to-end data solutions, including data extraction, production, and dissemination of statistical datasets and indicators and geospatial data.
• Hands-on experience building production-grade ETL pipelines using Databricks, Azure data lake, Unity Catalog and similar technologies.
• Extensive familiarity with the WBG Data360 framework, platform and solutions and proven experience working within the World Bank Group's ITS ecosystem, with an understanding of development workflows, environment constraints, and challenges related to CI/CD.
• Solid experience working with data governance and data management concepts within a development data/statistical data context including demonstrated familiarity with SDMX and international metadata standards such as DDI, ISO19139/19115 and WBG time series metadata schemas.
• Strong knowledge and experience in Agile Project Management methodologies and practical experience developing production-grade products using CI/CD workflows including utilization of version control frameworks such as Git and GitHub for managing projects and CI/CD.
• Demonstrated expertise in Python and R, including development and publication of production-ready, reusable R and/or Python packages.
• Excellent communication skills including the ability to understand and convey stakeholder requirements to inform technical solutions; and expertise in documenting solutions for technical audiences.
• Advanced analytical, problem-solving, negotiation, and organizational skills with demonstrated ability to multi-task, organize, prioritize, and meet deadlines.
• Collaborative team player who is quality- and detail-oriented, solution focused and able to work independently with some level of ambiguity while juggling multiple demands.
