Data Engineer: Build Scalable Data Platforms & Pipelines

Bank of the Philippine Islands (BPI); Manila; On-site; PHP 900,000 - 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 and pipelines that transform raw data into reliable information for enterprise reporting and analytics.

The role involves developing ETL/ELT processes, ensuring data quality and security, and collaborating with cross-functional teams to deliver end-to-end data solutions that support business decision-making.

Qualifications

• Bachelor's degree in a related field.
• 3–5 years of data engineering experience.
• Proficiency in SQL and Python; strong knowledge of data architecture and ETL/ELT processes.

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.

Skills

SQL

Python

Data architecture

Data modeling

ETL/ELT

Analytical skills

Cross-functional collaboration

Education

Bachelor's degree in a data-related field

Tools

Cloud platforms

Data pipelines tools

Relational databases

Job description

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

The role involves developing ETL/ELT processes, ensuring data quality and security, and collaborating with cross-functional teams to deliver end-to-end data solutions that support business decision-making.