Remote Data Engineer - Pipelines & Cloud Infra

Penbrothers International; Mandaluyong; Remote; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Meaningful work

Career growth

Global reach

Work from home

Job summary

Penbrothers International is building a talent pool of Data Engineers for remote opportunities with global clients. You will design and maintain scalable data pipelines and backend infrastructure, enabling analytics and data-driven applications at scale.

Join a fast-growing Philippines-based HR & remote talent partner. You’ll work with a distributed team on varied projects, from ingestion to storage optimization, remote-friendly, with strong emphasis on collaboration and impact.

Qualifications

• 3+ years of Python & Django programming experience.
• 3+ years of SQL experience.
• 2+ years working with AWS services or relevant cloud environments.
• Proven expertise in data pipeline architecture, including building, maintaining, and automating processes.
• Beginner to intermediate experience in Machine Learning Engineering.

Responsibilities

• Design, develop, and automate scalable data pipelines that serve as the foundation for our products.
• Build, optimize, and maintain backend infrastructure to support our client-facing applications.
• Own and lead projects with direct and meaningful impact on our clients.
• Collaborate with a remote team to ensure seamless integration and delivery of high-quality solutions.

Skills

Python & Django

SQL

AWS / Cloud

Data pipeline design

ML Engineering (beginner–intermediate)

Education

Bachelor’s or Master’s in CS

Tools

Cloud platforms (AWS/Azure/GCP)

Job description

Penbrothers International is building a talent pool of Data Engineers for remote opportunities with global clients. You will design and maintain scalable data pipelines and backend infrastructure, enabling analytics and data-driven applications at scale.

Join a fast-growing Philippines-based HR & remote talent partner. You’ll work with a distributed team on varied projects, from ingestion to storage optimization, remote-friendly, with strong emphasis on collaboration and impact.