Data Engineer

• Build and maintain data pipelines that ingest real-time positioning and telemetry data from tracking hardware.
• Design data models and schemas that support real-time event detection (e.g., correlating two tracked objects' positions to infer a pickup or handoff event).
• Implement data quality checks, monitoring, and alerting to catch pipeline failures or data drift early.
• Optimize pipelines for near-real-time processing at the latency the product requires.
• Work with structured and semi-structured data coming from external hardware and API integrations.
• Collaborate with software engineers to ensure data is accessible, reliable, and supports platform features.
• Support deployment, monitoring, and troubleshooting of data pipelines in production.

• Design and implement robust, scalable data pipelines for structured and unstructured data.
• Oversee ETL/ELT processes to ingest data from core banking systems, CRM, and external sources.
• Ensure data models support real-time analytics, reporting, and machine learning.
• Collaborate with data scientists and analysts to provide usable, cleaned and aggregated data to end users
• Ensure data practices comply with banking regulations (e.g., Basel III, GDPR, local laws).
• Implement data governance frameworks, including metadata management and lineage tracking.
• Collaborate with cybersecurity teams to safeguard sensitive financial data.
• Monitor and optimize data infrastructure for performance, reliability, and cost-efficiency.
• Troubleshoot data issues and ensure high availability of data services.
• Evaluate and adopt modern data technologies (e.g., cloud platforms, data lakes, streaming tools).
• Promote automation and DevOps practices in data engineering workflows.

Data Engineer Manager

• Possess solid knowledge of data engineering practices, demonstrating a passion for quality and best practice
• Adopt a continuous learning mindset, proactively seeking out and working on your areas of self development (technical & non technical)
• Support the adoption of modern cloud-based data platforms (with a clear path into Databricks - including support for certification)
• Be trusted to own and deliver stories and deliverables end-to-end, delivering quality production-ready outputs
• Write well-tested, automated code — building unit tests and automation flows as standard practice, not an afterthought
• Understand how project stories and deliverables fit into the broader project context, pre-empting different types of issues and scenarios that may be encountered
• Work closely with SMEs, testers and end users, keeping communication proactive and surfacing blockers early
• Contribute actively in team discussions - bringing ideas and building a reputation for quality work as a trusted, collaborative team mate

Senior Data Engineer

• Define and gather data requirements for large-scale data engineering and analytics initiatives.
• Design, build, and optimize scalable ETL/ELT data pipelines for batch and real-time processing.
• Ensure data quality, validation, lineage, and observability across multiple data sources.
• Standardize metrics and support reporting, analytics, and performance insights.
• Collaborate with stakeholders to resolve data issues and continuously improve data solutions and best practices.
• Fulfil other tasks as assigned by your People Leader and/or authorized representative of NAB Vietnam from time to time.

Data Engineer jobs in Vietnam

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Data Engineer

Data Engineer Manager

Senior Data Engineer

Senior Data Engineer – Lead