Senior Data Engineer, Traffic & Road IT Analytics

Land Transport Authority (LTA) Singapore; Singapore; Sur place; SGD 90 000 - 150 000; Plein temps

Résumé du poste

Land Transport Authority (LTA) Singapore is seeking a Senior/Executive Data Engineer to own, build, and scale data infrastructure powering analytics and applications. You will bridge hands-on pipeline development with AWS/Azure cloud architecture, champion data engineering best practices, and drive CI/CD automation through SHIP-HATS.

You will manage the entire data lifecycle, from upfront feasibility and stakeholder alignment to robust ETL processes and long-term system health, with a strong

Qualifications

• Foundational data engineering concepts including data modelling and ETL/ELT pipelines.
• SQL proficiency and Python or similar programming language.
• Experience with at least one cloud platform (AWS or Azure).

Responsabilités

• Own, build and scale data infrastructure powering analytics and applications.
• Bridge hands-on pipeline development with cloud architecture and CI/CD automation.
• Drive end-to-end data lifecycle from feasibility to production support.
• Ensure data quality checks, resolve production issues, and maintain docs.

Connaissances

Data modelling

ETL/ELT pipelines

SQL

Python

Cloud platforms (AWS/Azure)

Data engineering concepts

Formation

Bachelor's degree in Computer Science or related field

Outils

Apache Airflow

dbt

Delta Lake

SHIP-HATS CI/CD

Power BI

Tableau

AWS

Azure

Description du poste

[What the role is]

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

[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.