[lta-Tro] Data Engineer, Traffic & Road IT

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

Job summary

Land Transport Authority is seeking a Data Engineer to own, build, and scale the data infrastructure powering our analytics platforms. You will bridge hands-on pipeline development with cloud architecture (AWS/Azure) and collaborate across squads to implement data engineering best practices and modern CI/CD automation via SHIP-HATS.

You will manage the full data lifecycle, from upfront feasibility and stakeholder alignment to robust ETL/ELT processes, quality checks, and post-deployment health,

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or related field.
• Proficiency in SQL.
• Basic working knowledge of Python.
• Demonstrated interest or coursework in cloud platforms such as AWS or Azure.

Responsibilities

• Own, build, and scale data infrastructure powering analytics and applications.
• Bridge hands-on pipeline development with AWS cloud architecture.
• Champion data engineering best practices and CI/CD automation (SHIP-HATS).
• Drive data lifecycle from feasibility to robust ETL/ELT processes and post-deployment health.
• Embed data quality checks, resolve production issues, and maintain technical documentation.

Skills

SQL

Python

Data modelling

ETL/ELT pipelines

Data engineering concepts

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Airflow

dbt

Delta Lake

SHIP-HATS

Power BI

Tableau

AWS

Azure

Job description

What the role is

LTA-TRO 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

Education: Knowledge in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related field.

Mandatory Skills:

• Foundational understanding of data engineering concepts including data modelling and ETL/ELT pipelines (academic or project-based exposure is acceptable)
• Proficiency in SQL
• Basic working knowledge of at least one programming language such as Python
• Demonstrated interest or coursework in cloud platforms such as AWS or Azure

Advantageous Skills:

• 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
• Experience with data visualisation tools such as Power BI or Tableau

Soft Skills & Attributes:

• Strong communication and collaboration skills
• Ability to contribute across the project lifecycle from data feasibility studies to post-deployment support
• A proactive and analytical approach to problem-solving
• 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.