Data Engineer: Build Scalable Data Lakes & Pipelines

Bank of the Philippine Islands (BPI); Manila; On-site; PHP 700,000 - 1,300,000; Full time

Job summary

Bank of the Philippine Islands (BPI) is seeking a Data Engineer to design, build, and maintain scalable data platforms that transform raw data into reliable information for enterprise reporting and decision-making.

You will develop and optimize data pipelines, ensure data governance, and collaborate with cross-functional teams to deliver end-to-end data solutions while supporting strategic initiatives and ad hoc requests.

Qualifications

• Bachelor's degree required or equivalent in a data-related field.
• 3–5 years of data engineering or data platform experience.
• Strong knowledge of data architecture, modeling, databases, and ETL/ELT processes.
• Proficiency with SQL and Python; experience with cloud/big data tools.
• Excellent analytical, troubleshooting, and collaboration skills.

Responsibilities

• Design, build, and maintain scalable data architecture (lakes, warehouses, datamarts).
• Develop and optimize ETL/ELT pipelines across multiple source systems.
• Ensure data quality, governance, and security per standards and policies.
• Collaborate with business users and IT to translate data requirements into solutions.
• Support ad hoc data requests, reporting, testing, and platform documentation.

Skills

SQL

Python

Data modeling

Data architecture

Education

Bachelor's degree in Data Analytics, Computer Science, Economics, Business, or related field

Job description

Bank of the Philippine Islands (BPI) is seeking a Data Engineer to design, build, and maintain scalable data platforms that transform raw data into reliable information for enterprise reporting and decision-making.

You will develop and optimize data pipelines, ensure data governance, and collaborate with cross-functional teams to deliver end-to-end data solutions while supporting strategic initiatives and ad hoc requests.