Data Engineer (IT/ Marine Engineering/ Tuas)

Your tasks

• Assist the data engineering team in developing and maintaining data pipelines for DRUMS and remote monitoring applications.
• Support the collection, cleaning, transformation, and processing of time-series sensor data from shipboard machinery
• Assist in developing and testing ETL/ELT processes for reliable data ingestion, storage, and retrieval.
• Work with the team to support AWS cloud services, including S3, RDS, Lambda, and AWS Glue.
• Assist with database operations, SQL queries, data validation, and data quality checks under the guidance of senior team members.
• Support the development and testing of APIs and backend services using Python and SQL for AI/ML applications and web platforms.
• Help monitor data pipelines, troubleshoot issues, and improve data processing efficiency with guidance from the team.
• Assist in preparing technical documentation, test reports, and data processing procedures.
• Collaborate with other data engineers and team members on ongoing projects and technical tasks.
• Perform other duties and ad-hoc assignments as directed by the team lead and department manager.

Requirements

• Degree / Diploma in Computer Science, Data Engineering, Data Science, IT, or a related field.
• Strong Python skills and good working knowledge of SQL for database management, data processing, and API development.
• Understanding of data engineering fundamentals, including ETL/ELT pipelines, data integration, data transformation, and database optimization.
• Hands-on experience with pandas, NumPy, and SQL databases such as MySQL or PostgreSQL.
• Familiarity with AWS cloud services, particularly S3, RDS, Lambda, and AWS Glue, gained through coursework, FYP, internships, or personal projects.
• Able to use AI coding assistants (e.g. Claude Code, Codex, Cursor) effectively to speed up development, while reviewing and testing generated code rather than accepting it blindly.
• Comfortable working with Linux, Git, and basic scripting.
• Basic understanding of real-time data pipelines, Docker, Apache Airflow, or data streaming technologies is an advantage; training will be provided.

How to apply

Interested applicants, kindly click on “APPLY NOW” or send your resume in MS WORD format to hestia.wong(at)trustrecruit.com.sg

EA Personnel: Wong Ying Huan (Hestia)

Other

• Location: Tuas West Rd MRT
• Working hrs: Mon - Fri, 9am - 5.30pm

We regret only shortlisted candidates will be notified.

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EA Personnel Reg No: R24122431