Data Engineer, upto $5k, Bonus, WFH, Changi

ADECCO PERSONNEL PTE LTD; Singapore; Hybrid; SGD 55,000 - 75,000; Full time

Job summary

A global recruitment firm in Singapore is seeking a Data Engineer to build and maintain data pipelines and ensure data reliability. The ideal candidate should have a degree in a related field, 1–2 years of experience, and skills in SQL, Python, and AWS. The position offers a hybrid working model at the Changi location.

Qualifications

• 1–2 years of experience in data engineering or analytics.
• Hands-on knowledge of SQL, Python, AWS, and ETL/ELT concepts.
• Familiarity with data integration platforms.

Responsibilities

• Build and maintain data pipelines within the Enterprise Data Platform Plus.
• Monitor database health and performance.
• Support the onboarding of new data sources.
• Assist with ad-hoc data extraction and reporting.

Skills

Data engineering

SQL

Python

AWS

Analytical skills

Communication skills

Education

Degree/Diploma in Computer Science or related field

Tools

Grafana

Tableau

Excel

Pentaho

AWS Glue

Job description

The Opportunity

• Opportunity to work in MNC company
• 5 days' work week, Office Hours, Hybrid
• Working location: Changi

Job Scope

• Build and maintain data pipelines within the Enterprise Data Platform Plus (EDP+), including optimization and enhancements of core logic, ensuring smooth data refresh, transfer, and archival.
• Monitor database health and performance to ensure data reliability and resolve operational issues.
• Support the data platform team in onboarding new data sources and handling business-as-usual activities.
• Assist stakeholders with ad-hoc data extraction and reporting requests, ensuring timely and accurate delivery.
• Document processes and workflows clearly in Confluence to support knowledge sharing and issue resolution.
• Contribute to innovation projects, such as exploring new ETL methods, storage formats, and cloud services (AWS Glue, Parquet, real-time pipelines).

Skills & Requirements

• Degree/Diploma in Computer Science, Information Systems, Data Engineering, or related field.
• 1–2 years of experience in data engineering, analytics, or related technical roles.
• Hands‑on knowledge of SQL, Python, AWS and basic ETL/ELT concepts.
• Familiarity with tools such as Grafana, Tableau, Excel, and data integration platforms (e.g., Pentaho, AWS Glue).
• Exposure to Jira, Confluence, Git/Bitbucket is a plus.
• Strong analytical, problem‑solving, and communication skills.

Next Step

Prepare your updated resume and expected package.

Simply click on 'Apply here' or email to [e-mail] to drop your resume.

All shortlisted candidates will be contacted.