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

LTA Land Transport Authority; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

The LTA Land Transport Authority in Singapore is hiring a Senior/Executive Data Engineer for the Transport AI Programme. You will design, build, and maintain data infrastructure and pipelines supporting AI models across real-time and batch data sources from transport networks.

You'll collaborate with AI developers, data scientists, and infrastructure engineers to ensure data quality, governance, and availability within a cloud-enabled, hybrid environment, enabling AI-driven insights for ops and

Qualifications

• 3–6 years of relevant professional experience.
• Proficiency in Python and SQL with hands-on data engineering.
• Experience with modern data pipeline frameworks and cloud data platforms.

Responsibilities

• Design, build, and maintain scalable data pipelines ingesting diverse transport data (real-time and batch).
• Develop data models, data catalogues, and feature stores to support AI model training and inference.
• Ensure data quality, lineage, and governance across the data platform with validation, monitoring, and alerting.
• Implement data governance per government data classification, including access controls, masking, anonymisation, and audit logging.
• Collaborate with AI architects, data scientists, and engineers to translate data needs into robust data products.
• Support integration of external data sources with industry partners abiding by security and interoperability standards.
• Contribute to shared data platforms and reusable assets across AI use cases.
• Monitor data pipelines in production and drive continuous improvement in data reliability and freshness.

Skills

Python

SQL

Data pipelines

Cloud platforms

Data governance

Education

Bachelor's degree in Computer Science/ Data Science/ Business Analytics or related field

Tools

Apache Spark

Apache Kafka

dbt

Airflow

AWS Glue

Azure Data Factory

Google Dataflow

Databricks

Job description

[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.
• Monitor and maintain data pipelines in production, supporting incident response and continuous improvement of data reliability and freshness.

What we are looking for

Knowledge in Computer Science, Data Science, Business Analytics or a related field, with at least 3-6 years of relevant professional experience. Candidates will be assessed based on their experience and may be considered at the intermediate or senior level. Proficiency in Python and SQL is expected, along with hands‑on experience with modern data pipeline frameworks such as Apache Spark, Apache Kafka, dbt, Airflow, or equivalent. Experience with cloud data platforms (such as AWS Glue, Azure Data Factory, Google Dataflow, or Databricks) and data warehousing or lakehouse architectures is important. Familiarity with real‑time or streaming data processing is a strong advantage, particularly given LTA's operational context involving live sensor and transit data. Experience building feature stores or data pipelines specifically for ML/AI workloads is highly desirable. Knowledge of data governance frameworks, data quality tooling, and metadata management practices will set candidates apart. Experience working in regulated, government, or critical infrastructure environments — particularly where data sensitivity and access controls are paramount — is a plus. Comfortable working in cross‑functional teams and collaborating with both technical and non‑technical stakeholders to translate operational data needs into robust engineering solutions. Strong communication skills to explain technical concepts to both engineers and non‑technical stakeholders. Inclination to work in a collaborative, fast‑moving Agile environment. Strong in communication with the ability to explain complex technical concepts clearly to diverse audience.

As part of the shortlisting process for the role, you may be required to complete a medical declaration and / or undergo further assessment.

http://jobs.careers.gov.sg The Singapore Public Service plays a key role in the economic growth, progress and stability of Singapore by formulating and implementing government policies, as well as providing key public services. Whether you are a fresh graduate joining the workforce or an experienced professional, the Singapore Public Service offers a great variety of job opportunities for you. The work in the Public Service can be broadly categorised into the following sectors: Economic, Social, Security & External Relations, and Administration & Corporate Development. Be part of the team that shapes the future of Singapore.