Senior Data Analytics Engineer – Rail Asset Management

Public Service Division; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Public Service Division is recruiting a DATA SCIENTIST / DATA ANALYTICS ENGINEER focused on asset management data and analytics for the rail network. You will design data pipelines, build analytics solutions, and collaborate across disciplines and rail partners to drive data-driven decision making.

The role emphasizes data integrity, modeling, dashboards, and proactive insights to support asset performance and operations.

Qualifications

• Degree in data science, computer science, engineering or related field.
• Experience in both data engineering and data analytics preferred.
• Proficiency in Python, SQL, ETL tools and analytics tools such as Tableau/Power BI.
• Strong analytical and problem-solving skills with focus on data quality.

Responsibilities

• Design, develop, and maintain data pipelines for asset-related data.
• Ensure data integrity, quality, and accessibility through best practices.
• Translate data requirements into technical specifications for data engineering and analytics projects.
• Conduct data analysis to identify trends and insights for asset management decisions.
• Develop data models and analytics frameworks to support business objectives.
• Create dashboards and visualizations to communicate asset performance metrics.

Skills

Python

SQL

Analytics

Data modeling

Data analysis

Communication

Education

Data Science / CS / Engineering degree

Tools

ETL tools

Tableau

Power BI

LLM

ML models

Job description

Public Service Division is recruiting a DATA SCIENTIST / DATA ANALYTICS ENGINEER focused on asset management data and analytics for the rail network. You will design data pipelines, build analytics solutions, and collaborate across disciplines and rail partners to drive data-driven decision making.

The role emphasizes data integrity, modeling, dashboards, and proactive insights to support asset performance and operations.