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

Adecco; Singapore; Hybrid; SGD 60,000 - 80,000; Full time

Job summary

A reputable recruitment agency in Singapore is seeking a Data Engineer to build and maintain data pipelines. The role involves monitoring database performance and supporting data acquisition. Ideal candidates will have a degree in a relevant field, hands-on knowledge of SQL, Python, and AWS, along with strong analytical skills. This position offers a hybrid working model and the opportunity to contribute to innovative data solutions.

Qualifications

• 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.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Build and maintain data pipelines within the Enterprise Data Platform Plus (EDP+).
• Monitor database health and performance to ensure data reliability.
• Support the data platform team in onboarding new data sources.

Skills

SQL

Python

AWS

Analytical skills

Problem-solving

Communication skills

Education

Degree/Diploma in Computer Science, Information Systems, Data Engineering

Tools

Grafana

Tableau

Excel

Pentaho

AWS Glue

Jira

Confluence

Git/Bitbucket

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.