[LTA-TRO] SENIOR / EXECUTIVE DATA ENGINEER, TRAFFIC & ROAD IT
At a glance
Senior Data Engineering role at Sggovterp. LTA BCO · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and expand data infrastructure that supports analytics and applications
- Check data feasibility early, then agree on performance needs with stakeholders
- Create ETL workflows and keep deployed systems healthy
- Add data quality checks, fix production problems, and maintain data dictionaries and operating manuals
- Work with agile squads on engineering practices and CI/CD automation using SHIP-HATS
What you bring
- At least three years in data engineering, data analytics or a related discipline
- A background in computer science, data engineering, software engineering or a related field
- You understand data modelling and ETL or ELT pipelines, and can use SQL plus one programming language such as Python
- You have working familiarity with a cloud platform such as AWS or Azure
Who this fits
This role suits someone who can contribute from early feasibility work through post-launch support, with a strong focus on data quality and pipeline performance. You may need to complete a medical declaration or further assessment during shortlisting.
From the employer
[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.
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