DATA ENGINEER

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

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.

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