[lta-Tro] Data Engineer, Traffic & Road IT
Summary
Singapore's Land Transport Authority is hiring a Data Engineer to build and scale data pipelines and AWS cloud data infrastructure powering traffic and road analytics. Day to day: designing ETL/ELT pipelines, embedding data quality checks, CI/CD via SHIP-HATS, and maintaining documentation using SQL, Python, and tools like Airflow and dbt.
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.