Data Engineer

Total eBiz Solutions Pte Ltd; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading data solutions firm in Singapore is seeking a Data Engineer to design, develop, and maintain data pipelines that support Finance reporting and analytics. The ideal candidate will have proficiency in SQL and Python, along with experience in ETL/ELT pipeline development. Strong communication skills are essential for enabling compliance and enhancing business intelligence capabilities. This role offers an opportunity to work in a dynamic environment focused on data integrity and emerging AI techniques.

Qualifications

• Proficiency in SQL and Python for data processing and automation.
• Experience in ETL/ELT pipeline development and data modeling.
• Knowledge of data quality, observability, and governance practices.

Responsibilities

• Design, develop, and maintain data pipelines and models.
• Ensure data integrity, security, and compliance.
• Enable downstream business intelligence and AI capabilities.

Skills

SQL

Python

ETL/ELT pipeline development

Data modeling

Data quality practices

CI/CD principles

Strong communication skills

Tools

Tableau

Power BI

Azure

AWS

GCP

Job description

The Data Engineer will be responsible for designing, developing, and maintaining data pipelines and models to support Finance reporting and analytics. The role ensures data integrity, security, and compliance with government standards while enabling downstream business intelligence and emerging AI capabilities.

Requirements

Essential

• Proficiency in SQL and Python for data processing and automation.
• Experience in ETL/ELT pipeline development and data modeling.
• Knowledge of data quality, observability, and governance practices.
• Familiarity with enterprise systems integration (Workday RAAS experience preferred).
• Understanding of CI/CD principles and version control tools.
• Strong communication and documentation skills.

Desirable

• Exposure to BI tools such as Tableau or Power BI.
• Experience with cloud data platforms (Azure, AWS, or GCP).
• Familiarity with data orchestration frameworks and infrastructure automation.
• Knowledge of AI/ML enablement and data governance frameworks.