Job description

Job Purpose

Railway infrastructure such as tracks, tunnels and viaducts are inspected and monitored routinely to ensure safe use. Increasingly, the use of inspection technologies such as photo imaging systems, laser and ultrasonic scan systems are used alongside more traditional track visual inspections methods to determine the condition of the infrastructure. Railway buildings and facilities are also equipped with smart environmental control, pump monitoring, and lift control systems. These building conditioning monitoring systems could be OEM proprietary systems or 3rd party solutions.

The defect and asset condition information from multiple inspection sources need to be aligned, processed, stored, and fused a linear asset data warehouse. The combined data can then be retrieved to 1) ascertain linear asset condition; 2) compliance to LTA code of practices; 3) fault diagnostics; 4) reliability centred maintenance program development; 5) spares provisioning.

The role of the Data Engineer in the Ops Analysis & Technology team is to mine asset condition and business insights from the central linear asset warehouse and work with Engineering, System Management groups within LTA for the above listed purposes. Additionally, the Engineer will be required to vet and prepare regulatory compliance report for submission to LTA.


The duties and responsibilities of Data Engineer, Ops Analysis & Technology are as listed below
  • Identify and collate data sources for the Data Analysts to implement dashboards
  • Develop robust data pipelines for the Data Analysts
  • Design and develop data models for the Data Analysts to speed up dashboard development
  • Perform extract-transform-load (ETL) function and to ensure a high level of data quality
  • Develop and maintain data governance requirements for Network Systems Maintenance entities
  • Promoting and safeguarding good data practices with the ground maintenance engineers in their data collection process
  • Identify opportunities and develop apps/tools to facilitate/enhance for process improvements and optimization
  • Work with the respective team to support the maintenance of data platforms

Qualifications & Work Experience
  • Degree in Mechanical, Electrical or Civil Structure Engineering
  • Prior work experience as maintenance engineer
  • 3-4 years of work experience in a data engineer role


Technical skills include:
  • Strong understanding of mechanical or electrical engineering
  • Prior knowledge of railway track and/or civil structure will be beneficial
  • Proficient in SQL, database design and data modeling
  • Proficient in Python and its Data Science packages
  • Familiarity in Excel and Power BI
  • Having Microsoft Azure Data Engineer certification & Microsoft Azure Data Scientist certification will be a bonus

SMRT Trains Ltd was incorporated in 1987 and operates Singapore’s first mass rapid transit system. Today, we manage and operate train services on the North-South Line, East-West Line, the Circle Line, the Thomson-East Coast Line, and the Bukit Panjang Light Rail Transit. With over 5,000 employees, more than 250 trains, and 141 km of rail tracks across 108 stations, we serve millions of commuters daily.

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