Data Engineer — AI-Driven Pipelines & Scalable Analytics

PMFTC Inc.; Philippines; On-site; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

14th Month Pay

HMO Coverage

Annual Allowance

Retirement Plan

Leave Conversion

Job summary

Philip Morris International seeks a data engineer to design, build, test, and deploy scalable data pipelines across enterprise platforms. You will ensure data quality, improve warehouse performance, and collaborate with global teams to deliver trusted data solutions.

The role emphasizes modern data stacks (Snowflake, Matillion, AWS) and AI/ML readiness, with a hybrid work setup based in Makati. A strong SQL background and Python/PowerShell skills are essential for success.

Qualifications

• Bachelor's degree in a relevant field required.
• 3+ years of data engineering with Snowflake/Matillion/AWS stack.
• Strong SQL and at least one programming language (Python/PowerShell).

Responsibilities

• Design, build, test, and deploy scalable data pipelines across enterprise platforms.
• Ensure data quality with robust controls and monitoring.
• Improve data warehouse performance and scalability.
• Collaborate with cross-functional teams in a global environment.
• Translate business requirements into scalable data solutions.

Skills

SQL

Python

ETL/ELT concepts

Data modeling

AI/ML readiness

LLMs for data workflows

Agile

Education

Bachelor's degree in Informatics/IT/CS

Tools

Snowflake

Matillion

AWS

CI/CD

Jenkins

Git

Job description

Philip Morris International seeks a data engineer to design, build, test, and deploy scalable data pipelines across enterprise platforms. You will ensure data quality, improve warehouse performance, and collaborate with global teams to deliver trusted data solutions.

The role emphasizes modern data stacks (Snowflake, Matillion, AWS) and AI/ML readiness, with a hybrid work setup based in Makati. A strong SQL background and Python/PowerShell skills are essential for success.