Senior Data Engineer — Transport AI Pipelines

sggovterp

Singapore

On-site

SGD 90,000 - 150,000

Full time

3 days ago
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Job summary

Land Transport Authority (LTA) Singapore is seeking a senior/executive data engineer for the Transport AI Programme. You will design and maintain data infrastructure enabling AI models, spanning real-time sensor feeds, transit data, and road infrastructure.

Work with AI software developers, data scientists, and infrastructure engineers to ensure data quality, governance, and availability for AI development and production use. Prior experience in government/critical infrastructure is a plus.

Qualifications

  • Bachelor's degree in CS/DS/Analytics with 3–6 years of data engineering experience.
  • Strong Python and SQL programming skills are essential.
  • Hands-on experience with modern data pipelines and cloud platforms.

Responsibilities

  • Design, build, and maintain scalable data pipelines from diverse sources.
  • Develop data models, catalogs, and feature stores for AI workflows.
  • Ensure data quality, lineage, and governance across the platform.
  • Collaborate with AI/infra teams to deliver production data products.
  • Monitor production pipelines and drive continuous improvements.

Skills

Python
SQL
Data pipelines
Data modeling
Data governance
Communication
Agile
Collaboration

Education

Bachelor's degree in Computer Science / Data Science / Business Analytics

Tools

Apache Spark
Apache Kafka
dbt
Airflow
AWS Glue
Azure Data Factory
Google Dataflow
Databricks

Job description

Land Transport Authority (LTA) Singapore is seeking a senior/executive data engineer for the Transport AI Programme. You will design and maintain data infrastructure enabling AI models, spanning real-time sensor feeds, transit data, and road infrastructure.

Work with AI software developers, data scientists, and infrastructure engineers to ensure data quality, governance, and availability for AI development and production use. Prior experience in government/critical infrastructure is a plus.

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