
World Vision
Data Engineer – World Vision International
Locations: Philippines, Malaysia, Vietnam, Sri Lanka, Indonesia (Remote – must reside in a country where World Vision International is legally registered)
Job Type: Full-time (Remote)
Application Deadline: July 18, 2025
Job ID: JR43497
About World Vision
With over 75 years of experience, World Vision International is a global Christian humanitarian organization committed to helping the most vulnerable children overcome poverty and injustice. Operating in nearly 100 countries with more than 33,000 staff, World Vision provides holistic support regardless of background or location.
Role Overview
World Vision is seeking an experienced Data Engineer to design, build, and operate secure, scalable, and high-performance data platforms. This role is essential to supporting enterprise-wide analytics and decision-making. You’ll architect robust data systems including lakes, warehouses, and streaming platforms, ensuring quality, governance, and compliance across the entire data lifecycle.
Key Responsibilities
Data Platform Architecture & Development
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Design and implement scalable platforms (data lakes, warehouses, real-time systems)
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Ensure alignment with business needs, performance, and security requirements
Data Pipeline Engineering (ETL/ELT)
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Develop and optimize batch and real-time pipelines using tools like Apache Spark, Airflow, AWS Glue, or Azure Data Factory
Data Quality & Governance
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Enforce data standards, validation, cleansing, and lineage tracking
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Ensure metadata and documentation are transparent and maintained
Platform Operations & Monitoring
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Monitor infrastructure using observability tools
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Troubleshoot issues and plan for scalability and resilience
Security & Compliance
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Apply encryption, access control, auditing
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Maintain compliance with privacy laws such as GDPR, HIPAA
Collaboration & Innovation
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Work with analysts, engineers, and business stakeholders
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Translate business needs into data solutions
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Contribute to the continuous improvement of data processes
Required Qualifications
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Bachelor’s degree in Computer Science, Data Engineering, or related field
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7+ years of professional experience in data engineering
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Proficiency in Python, SQL, and modern data structures
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Hands-on experience with Apache Spark, Airflow, or cloud-native ETL tools
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Experience with AWS, Azure, or similar cloud platforms
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Strong understanding of data governance, quality frameworks, and large-scale datasets
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Fluency in English (written and spoken)
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Relevant certifications (cloud or data engineering)
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Willingness to travel internationally, as needed
How to Apply
Apply directly through World Vision’s career portal:
World Vision Careers – Data Engineer
To apply for this job please visit worldvision.wd1.myworkdayjobs.com.