The World Bank Group is seeking an Associate Data Engineer to join its Geospatial Solutions team. This role involves designing, developing, and maintaining scalable data pipelines for geospatial and non-geospatial data. The successful candidate will optimize data infrastructure, ensure data quality, and collaborate with various stakeholders to deliver impactful technology solutions. The position requires strong expertise in data engineering, geospatial data management, and ETL/ELT frameworks.
Candidate Requirements:
Master's degree in STEM or related field with 5 years experience, or Bachelor's with 7 years
Experience in geospatial technologies and data engineering
Proven ability to solve complex problems in data pipeline performance and quality
Knowledge-based guidance to junior staff
Experience designing/maintaining ETL pipelines for spatial attributes
Proficiency in English
Recommended certifications in data engineering
E T Consultant (Associate Data Engineer)
Job #:
req38231
Organization:
World Bank Group
Sector:
Information Technology
Grade:
EC2
Term Duration:
1 year 0 months
Recruitment Type:
Local Recruitment
Location:
Sofia,Bulgaria
Required Language(s):
English
Preferred Language(s):
Closing Date:
9/16/2026 (MM/DD/YYYY) at 11:59pm UTC
Description
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.
Selection Criteria
• Master’s degree in STEM fields (Science, Technology, Engineering, Mathematics), GIS, geology, geodesy, data science, computer science, or a related field, combined with a minimum of 5 years relevant experience, or Bachelor’s degree with 7 years of experience.
• Ability to conduct professional‑level research and analysis in the field of geospatial technologies, including evaluation of data engineering approaches and platform integration options.
• Proven ability to propose solutions to moderately complex problems in the field of geospatial technologies, including data pipeline performance, data quality, and geospatial integration challenges.
• Provide knowledge-based guidance to junior staff within the geospatial team.
• Ability to apply broad‑based professional knowledge to complete difficult assignments related to data pipelines, integration, and data quality.
• Passion for innovation and staying up to date with the latest technology trends, particularly in geospatial technologies, data engineering, and platform modernization.
• Experience designing/maintaining ETL pipelines that handle spatial attributes and support reuse for visualization, monitoring, and scenario analysis
• Ability to learn quickly and adapt to changing priorities.
• Able to take personal ownership and accountability to meet deadlines and achieve agreed-upon results and has the personal organization to do so.
• Recommended Certifications: Microsoft Certified: Fabric Data Engineer Associate, or AWS Certified Data Engineer - Associate or Databricks Certified Data Engineer Associate, or SAFe Practitioner (SP).
• Proficiency in English.
WBG Culture Attributes:
1. Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders. 2. Thoughtful risk-taking: Challenge the status quo and push boundaries to achieve greater impact. 3. Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results.
As per WBG policy, an Extended Term (ET) appointment is subject to a lifetime maximum of three (3) years. Former and current ET staff who have completed or are in the process of completing their third-year ET appointment are not eligible for future ET appointments.
We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.
Learn more about working at the World Bank and IFC including our values and inspiring stories.
At Impactpool we do our best to provide you the most accurate info, but closing dates may be wrong on our site. Please check on the recruiting organization's page for the exact info. Candidates are responsible for complying with deadlines and are encouraged to submit applications well ahead.
Before applying, please make sure that you have read the requirements for the position and that you qualify. Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.
Summary by Impactpool
The World Bank Group is seeking an Associate Data Engineer to join its Geospatial Solutions team. This role involves designing, developing, and maintaining scalable data pipelines for geospatial and non-geospatial data. The successful candidate will optimize data infrastructure, ensure data quality, and collaborate with various stakeholders to deliver impactful technology solutions. The position requires strong expertise in data engineering, geospatial data management, and ETL/ELT frameworks.
Candidate Requirements:
Master's degree in STEM or related field with 5 years experience, or Bachelor's with 7 years
Experience in geospatial technologies and data engineering
Proven ability to solve complex problems in data pipeline performance and quality
Knowledge-based guidance to junior staff
Experience designing/maintaining ETL pipelines for spatial attributes
Proficiency in English
Recommended certifications in data engineering
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