Data Engineer

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

Job Description:

Job Summary

The Data Engineer is responsible for designing, building, and maintaining scalable data platforms and pipelines that transform raw data into reliable, accessible information to support enterprise reporting, analytics, and business decision-making.

Responsibilities

• Design, build, and maintain scalable data architecture, including data lakes, data warehouses, datamarts, and enterprise data pipelines
• Develop and optimize ETL/ELT processes to ingest, transform, and load data from multiple source systems while ensuring performance and scalability
• Ensure data quality, integrity, governance, and security through validation, monitoring, and compliance with data standards and policies
• Collaborate with business users, system owners, IT teams, and data stakeholders to translate data requirements into functional specifications and deliver end-to-end data solutions
• Support strategic initiatives and ad hoc data requests, including data extraction, reporting, user acceptance testing, documentation, and ongoing data platform support

Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, Management, Economics, Business, or a related field
• At least 3 to 5 years of experience in data engineering, data platform development, or related roles
• Strong knowledge of data architecture, data modeling, relational and non-relational databases, and ETL/ELT processes
• Proficiency in SQL and Python, with experience using data engineering, big data, or cloud-based tools and platforms
• Strong analytical, troubleshooting, communication, and collaboration skills, with the ability to work effectively with cross-functional teams

Requirements