Data Engineer (ELT | SQL | West |Up to $4.5k+VB) JF

TRUST RECRUIT PTE. LTD.; Singapore; On-site; SGD 42,000 - 66,000; Full time

Job summary

TRUST RECRUIT PTE. LTD. is seeking a data engineering assistant to support the development and maintenance of data pipelines for DRUMS and remote monitoring applications.

You will focus on collecting, cleaning, transforming, and processing time-series sensor data from shipboard machinery. You will assist in ETL/ELT testing, work with AWS services, and help validate data quality while learning from senior team members.

Qualifications

• Degree/Diploma in Computer Science, Data Engineering, IT or related field.
• Strong Python skills and good SQL knowledge for data processing, API development.
• Understanding of ETL/ELT pipelines, data integration, transformation and DB optimization.
• Hands-on experience with Pandas and NumPy; familiarity with MySQL or PostgreSQL.
• Familiarity with AWS cloud services (S3, RDS, Lambda, AWS Glue) from coursework or projects.
• Able to use AI coding assistants effectively while reviewing code.
• Comfortable with Linux, Git and basic scripting.
• Good communication and teamwork skills.

Responsibilities

• Develop and test ETL/ELT processes for reliable data ingestion, storage and retrieval.
• Support AWS cloud services usage (S3, RDS, Lambda, AWS Glue).
• Assist with database operations and SQL queries; ensure data quality checks.
• Collaborate on API and backend service development using Python and SQL.
• Monitor data pipelines, troubleshoot issues, and improve processing efficiency.
• Produce technical documentation, test reports, and data procedures.
• Collaborate with data engineers and team members on ongoing tasks.
• Perform ad-hoc duties as directed by team lead.

Skills

Python

SQL

data engineering fundamentals

data transformation

Education

Degree / Diploma in Computer Science, Data Engineering, IT, or related field

Tools

Pandas

NumPy

MySQL

PostgreSQL

AWS S3

AWS RDS

AWS Lambda

AWS Glue

Job description

About the role

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.

Key responsibilities

• 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.

About you

• 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.
• Good communication and interpersonal skills.

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