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Finance Data Engineer - Pipelines, BI & AI Prep

FPT Asia Pacific

Singapore

On-site

SGD 70,000 - 100,000

Full time

Today
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Job summary

A leading technology company in Singapore is looking for a Data Engineer to design and maintain data pipelines for Finance reporting. The role focuses on ensuring data integrity, compliance with security standards, and enabling business intelligence capabilities. Ideal candidates will have strong skills in SQL and Python, experience with ETL processes, and knowledge of cloud data platforms. You will collaborate with Finance analysts and contribute to the development of automated workflows and documentation.

Qualifications

  • Proficiency in SQL and Python for data processing and automation.
  • Experience in ETL/ELT pipeline development and data modeling.
  • Strong understanding of data quality and observability practices.
  • Familiarity with enterprise systems integration (Workday RAAS preferred).
  • Understanding of CI/CD principles and version control tools.
  • Exposure to BI tools such as Tableau or Power BI.
  • Experience with cloud data platforms (Azure, AWS, or GCP).

Responsibilities

  • Design, implement, and operate ETL/ELT processes for data ingestion.
  • Develop data models to support Finance reporting.
  • Implement data validation and compliance measures.
  • Develop automated workflows and CI/CD processes.
  • Collaborate with Finance analysts for dashboard data provisioning.
  • Optimize SQL queries for performance.

Skills

SQL
Python
ETL/ELT pipeline development
Data modeling
CI/CD principles
Communication skills
BI tools (Tableau, Power BI)
Cloud data platforms (Azure, AWS, GCP)
Job description
A leading technology company in Singapore is looking for a Data Engineer to design and maintain data pipelines for Finance reporting. The role focuses on ensuring data integrity, compliance with security standards, and enabling business intelligence capabilities. Ideal candidates will have strong skills in SQL and Python, experience with ETL processes, and knowledge of cloud data platforms. You will collaborate with Finance analysts and contribute to the development of automated workflows and documentation.
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