Associate Data Engineer, Enterprise Data Engineering

Builds and operates enterprise batch and streaming data pipelines for the World Bank’s Data Office, including ingestion, transformation, document processing, quality testing and observability, while creating reusable blueprints and self-service infrastructure for domain teams.

Department: ITS Data Office, Platforms Tools Unit

• Design and maintain batch and streaming data pipelines
• Build ETL and ELT workflows for diverse enterprise sources
• Develop document-ingestion, OCR, enrichment and indexing pipelines
• Create reusable infrastructure-as-code templates and pipeline blueprints
• Implement federated data contracts and interoperability standards
• Build dimensional models and curated data products
• Automate data-quality testing, observability and failure handling
• Prepare data for analytics, machine-learning and retrieval-augmented generation

Not available

• The captured official posting supplies detailed duties but does not state qualification or contract criteria