About the role
This role focuses on data engineering and analytics for railway infrastructure maintenance. The engineer will build data pipelines, develop ETL scripts, and create Power BI dashboards to support proactive maintenance decisions. They will also scout for green technologies and manage sustainability projects.
TransportOnsite
Key Responsibilities
- Working with Data Engineers and Cloud Solutions Architect to implement data pipelines
- Developing extract-transform-load (ETL) scripts to ensure a high level of data quality
- Teaming with Railway Infrastructure Engineers to support fault diagnostics, mine insights from reliability trends to support maintenance program review
- Enhance maintenance dashboards to ensure timely and accurate defect status info for the Maintenance Engineers
- Scout for maintenance & green technologies. Support the implementation of sustainability projects and initiatives.
- Collaborate with various teams to ensure the alignment of projects with overall sustainability and compliance goals.
- Project management of ESG initiatives.
- Monitor and report on sustainability performance metrics.
Requirements
- A degree in Engineering (Mechanical, Electrical, Civil), Computer Science, Information Systems, or equivalent professional experience.
- 3–6 years of hands-on experience in data engineering or analytics engineering, with proven ownership of production pipelines and BI models.
- Prior experience in maintenance, rail, asset-intensive, or other industrial operations is strongly preferred.
- Proficient in Excel
- Proficient in Python and its data science packages
- Proficient in Power BI
- Having Microsoft Azure Data Engineer certification & Microsoft Azure Data Scientist certification will be a bonus