Data Engineer: Cloud Pipelines & Real-Time Dashboards

JOBSTER PRIVATE LTD.; Singapore; On-site; SGD 90,000 - 126,000; Full time

Job summary

JOBSTER PRIVATE LTD. in Singapore is seeking a Data Engineer (Consultant) to support data products, data pipelines, and analytics workflows within the Information Technology Division.

You will collaborate with data scientists and business users to ensure data quality, build dashboards, and optimise ETL processes, with emphasis on reliability and security. The role requires 3–5 years in data engineering or related fields, a bachelor’s degree, and hands-on experience with SQL, Python, and cloud

Qualifications

• Minimum Bachelor’s Degree in CS/CE or related field.
• 3–5 years of Data Engineering, Data Science, or IT Infra experience.
• Proficient in dashboards with Tableau or QuickSight.
• Strong SQL scripting and Python proficiency.
• Excellent time-management and independent work capability.

Responsibilities

• Support the daily operations of the data platform (error notifications, job monitoring & recovery, testing data pipelines).
• Investigate and troubleshoot incidents related to connectivity, API timeouts, service failures.
• Document changes to data sources, pipelines, accounts.
• Research, propose and document technical requirements.
• Review and implement fixes for security vulnerabilities.
• Collaborate with the infrastructure team on data team requests.
• Support product managers in cloud transformation journey for data products.
• Provide technical support and consultancy to business users.
• Develop reports to monitor usage, performance and security events.
• Generate mockup data and create unit tests.
• Set up DevOps pipelines.
• Optimise performance of data pipelines.
• Review data pipelines to ensure adherence to data management standards, policies and procedures.

Skills

Python

SQL scripting

Dashboard development

Education

Bachelor's degree in Computer Science or related field

Tools

Tableau

QuickSight

AWS

Talend

Terraform

Job description

JOBSTER PRIVATE LTD. in Singapore is seeking a Data Engineer (Consultant) to support data products, data pipelines, and analytics workflows within the Information Technology Division.

You will collaborate with data scientists and business users to ensure data quality, build dashboards, and optimise ETL processes, with emphasis on reliability and security. The role requires 3–5 years in data engineering or related fields, a bachelor’s degree, and hands-on experience with SQL, Python, and cloud