[LTA-TRO] SENIOR/ EXECUTIVE DATA ENGINEER, TRAFFIC & ROAD IT

Land Transport Authority (LTA); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Land Transport Authority (LTA) is hiring a Senior/Executive Data Engineer to own, build, and scale the data infrastructure powering analytics and applications. The role bridges hands-on pipeline development with cloud architecture and CI/CD automation, working across squads to enforce data engineering best practices.

You will drive the full data lifecycle, ensure data quality, and maintain thorough documentation including data dictionaries and manuals.

Qualifications

• Foundational understanding of data engineering concepts including data modelling and ETL/ELT pipelines.
• Proficiency in SQL and Python with cloud platform experience (AWS or Azure).
• Experience with data governance, data quality checks, and scalable ETL/ELT processes.

Responsibilities

• Own, build and scale data infrastructure powering analytics and applications.
• Bridge hands-on pipeline development with AWS cloud architecture and CI/CD automation.
• Drive data lifecycle from feasibility to post-deployment health and documentation.

Skills

SQL

Python

AWS

Azure

Data modelling

ETL/ELT pipelines

CI/CD

Power BI

Tableau

Education

Bachelor's degree in Computer Science / Data Engineering

Tools

Apache Airflow

dbt

Delta Lake

SHIP-HATS CI/CD

Job description

[What the role is]

[LTA-TRO] SENIOR/ EXECUTIVE DATA ENGINEER, TRAFFIC & ROAD IT

[What you will be working on]

We are looking for a Data Engineer to own, build, and scale the data infrastructure powering our next-generation analytics and applications. In this role, you will bridge hands-on pipeline development with AWS cloud architecture, working across agile squads to champion data engineering best practices and modern CI/CD automation through SHIP-HATS.

You will drive the entire data lifecycle—from assessing upfront data feasibility and aligning performance specifications with stakeholders, to building robust ETL processes and maintaining post-deployment system health. Beyond writing clean code, you will ensure long-term operational excellence by embedding strict data quality checks, resolving production issues, and maintaining comprehensive technical documentation like data dictionaries and operational manuals.

[What we are looking for]

• Knowledge in Computer Science, Data Engineering, Software Engineering, or a related field, with at least 3 years of experience in data engineering, data analytics, or a related discipline.

• The following skills are mandatory: a foundational understanding of data engineering concepts including data modelling and ETL/ELT pipelines; proficiency in SQL and basic working knowledge of at least one programming language such as Python; and familiarity with at least one cloud platform such as AWS or Azure.

• The following skills are advantageous: exposure to workflow orchestration tools such as Apache Airflow; familiarity with modern data stack tools such as dbt or Delta Lake; exposure to CI/CD practices including SHIP-HATS; familiarity with data governance principles and IM8 compliance standards; and experience with data visualisation tools such as Power BI or Tableau.

• Strong communication and collaboration skills, with the ability to contribute across the project lifecycle from data feasibility studies to post-deployment support, and a proactive and analytical approach to problem-solving with a strong sense of ownership over data quality and pipeline performance.

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