Network Data Engineer: Scalable ETL Pipelines & Data Quality

Globe Telecom, Inc.; Taguig; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

Globe Telecom, Inc. in the Philippines seeks a Network Data Engineer to design and operate scalable data pipelines and models for network telemetry. You will ensure data quality, security, and governance while enabling analysts with reliable datasets.

Responsibilities cover ELT/ETL orchestration, dimensional modeling, data observability, and data cataloging to support timely business insights.

Qualifications

• Experience designing end-to-end ETL/ELT pipelines for large-scale data.
• Ability to design Star/Snowflake dimensional models.
• Experience with data quality and observability tooling.
• Familiarity with data governance, metadata, and security controls.
• Collaborates with Data Analysts to deliver analysis-ready data.

Responsibilities

• End-to-End Pipeline Orchestration: Own the full lifecycle of data by architecting and operating automated ELT/ETL pipelines.
• Collaborative Schema & Dimensional Modeling: Partner with domain experts to translate business intuition into scalable technical data models.
• Automated Validation & Observability: Build "Data Quality as Code" by integrating automated testing and monitoring into the pipeline.
• Secure Governance & Data Transparency: Enforce rigorous security, IAM, and compliance standards while maintaining an up-to-date Data Catalog.
• Standardization & Data Enablement: Act as the technical bridge for the Data Analyst by peer-reviewing analyses and converting queries into production-ready features.

Skills

ETL/ELT Pipelines

Data Modeling

Data Governance

Data Quality

Security & IAM

Job description

Globe Telecom, Inc. in the Philippines seeks a Network Data Engineer to design and operate scalable data pipelines and models for network telemetry. You will ensure data quality, security, and governance while enabling analysts with reliable datasets.

Responsibilities cover ELT/ETL orchestration, dimensional modeling, data observability, and data cataloging to support timely business insights.