Data Platform Engineer — Real-Time, Scalable Pipelines

Globe Telecom, Inc.; Taguig; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Globe Telecom, Inc. is seeking a seasoned Data Engineer to design and maintain scalable data platforms that support both operational and analytical workloads.

You will build real‑time processing systems, data pipelines, and secure, governed data stores while partnering with cross‑functional teams to align data initiatives with business goals. The role emphasizes cloud‑native architectures, data governance, and scalable solutions to empower decision making across the organization.

Qualifications

• 5+ years of hands-on experience as a Data Engineer.
• Experience with ETL development and data warehousing.
• Experience with Cloud Platforms (AWS and GCP).

Responsibilities

• Build and maintain robust data platforms for operational use cases.
• Design and implement scalable, reusable data pipelines and frameworks.
• Define governance and security measures to ensure compliance across data platforms.
• Collaborate with Cloud & Infra Engineers to optimize automation and resources.
• Provide accurate level-of-effort estimates for new initiatives and changes.

Skills

Python

SQL

Java

Data Modeling

Data Warehousing

GitOps

DevSecOps

Team Leadership

Education

B.S. in Computer Science

Tools

Airflow

NiFi

Dataflow

AWS Glue

Snowflake

Redshift

BigQuery

AWS

GCP

Job description

Globe Telecom, Inc. is seeking a seasoned Data Engineer to design and maintain scalable data platforms that support both operational and analytical workloads.

You will build real‑time processing systems, data pipelines, and secure, governed data stores while partnering with cross‑functional teams to align data initiatives with business goals. The role emphasizes cloud‑native architectures, data governance, and scalable solutions to empower decision making across the organization.