[LTA-TRO] SENIOR/ EXECUTIVE/ DATA ENGINEER - TRANSPORT AI PROGRAMME

[What the role is]

[LTA-TRO] Senior/ Executive/ Data Engineer - Transport AI Programme, LTA Singapore

[What you will be working on]

Singapore's land transport network moves millions of people every day. As AI reshapes what's possible in transport operations, the Land Transport Authority is investing in AI capabilities that will meaningfully improve how the network is sensed, managed, and optimised — for commuters, operators, and public officers alike.

AI systems are only as good as the data that powers them. As a Data Engineer in LTA's Transport AI Programme, you will design, build, and maintain the data infrastructure and pipelines that enable AI models and applications to access high-quality, timely, and trustworthy data. You will work across LTA's rich transport data ecosystem — spanning real-time sensor feeds, transit operations data, traffic systems, and road infrastructure — to ensure that data is reliably ingested, transformed, governed, and made available for AI development and production use.

This role reports to the Transport AI Programme Deputy Director and works closely with AI software developers, the AI architect, infrastructure engineers, and industry partners on joint data integration efforts.

Key Responsibilities

• Design, build, and maintain scalable data pipelines that ingest, transform, and serve structured and unstructured data from diverse transport data sources, including real-time streams and batch feeds.

• Develop and manage data models, data catalogues, and feature stores that support AI model training, evaluation, and inference across transport use cases.

• Ensure data quality, consistency, and lineage across the data platform, implementing validation checks, monitoring, and alerting to detect and resolve data issues early.

• Implement data governance practices in line with Singapore Government data classification requirements, including access controls, data masking, anonymisation, and audit logging for sensitive transport and personal data.

• Work with the AI Architect and Infrastructure Engineer to design data infrastructure that is performant, cost-efficient, and aligned with LTA's cloud and hybrid environment.

• Collaborate with data scientists and AI developers to understand data requirements for model development, and translate these into reliable, production-grade data products.

• Support the integration of external data sources from industry partners, ensuring that data exchange meets LTA's standards for security, quality, and interoperability.

• Contribute to the development of shared data platforms and reusable data assets that can be leveraged across multiple AI use cases within the programme.