E T Consultant (Associate Data Engineer)

The Associate Data and AI Engineer supports the delivery of geospatial solutions and capabilities by designing, developing, and maintaining scalable data pipelines for geospatial and non-geospatial data. The role involves ensuring data quality, optimizing data infrastructure, and collaborating with stakeholders to deliver sustainable engineering solutions that support the World Bank Group's operational priorities.

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.

Requirements

• 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.

Skills

• Geospatial Technologies
• Data Engineering
• Platform Integrations
• Data pipeline design
• ETL pipeline design
• Data Quality Processes
• Geospatial data integration
• Research and Analysis
• Data Pipeline Performance Optimization
• Scalable Data Pipelines
• Data Infrastructure Optimization
• Innovation in Technology
• Microsoft Certified Fabric Data Engineer
• AWS Certified Data Engineer
• Databricks Certified Data Engineer
• SAFe Practitioner Certification
• Stakeholder Collaboration
• Professional Knowledge in STEM
• Platform Modernization

Languages

English