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AI Data Engineer

Leading Telecommunications company in the Philippines providing cellular, broadband and mobile data services
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Telecommunications

Job Description

Globe Telecom, the leading telecommunications company in the Philippines, is seeking an AI Data Engineer to join their innovative team. This role combines cutting-edge AI technology with robust data engineering practices, focusing on implementing sophisticated data pipelines using Databricks, Snowflake, and Google Cloud Platform.

The position offers an opportunity to work on large-scale data infrastructure supporting AI and analytics workloads, requiring expertise in Python, cloud platforms, and modern data architecture. You'll be responsible for designing and optimizing data pipelines across bronze, silver, and gold layers, ensuring high performance and reliability.

As an AI Data Engineer at Globe, you'll collaborate with data scientists, AI specialists, and business stakeholders to deliver scalable data solutions. The role demands strong technical skills in data warehouse management, ETL processes, and cloud services, particularly within the GCP ecosystem.

The ideal candidate brings 3-5 years of data engineering experience, with specific expertise in Databricks and structured data pipeline architectures. You'll be part of a company that's driving digital transformation in the Philippines, working on projects that directly impact millions of customers.

Globe offers a collaborative environment where you can shape the future of data-driven AI solutions. The company's strong market position, backed by industry leaders Ayala Corp. and Singtel, provides stability and opportunities for growth. Their commitment to creating a Globe of Good and recognition as a top employer in Asia makes this an excellent opportunity for data professionals looking to make an impact.

Last updated 17 days ago

Responsibilities For AI Data Engineer

  • Design, build, and maintain data pipelines using Databricks
  • Optimize data ingestion, transformation, and loading processes
  • Manage and optimize data solutions on Snowflake and Google BigQuery
  • Develop strategies to migrate, integrate, and synchronize data between cloud data warehouses
  • Build and manage automation scripts and workflows for data processing
  • Implement data governance and security practices
  • Collaborate with data scientists and engineers on AI/ML workloads

Requirements For AI Data Engineer

Python
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related fields
  • 3-5+ years of experience as a data engineer
  • Expertise in Databricks and structured data pipeline architectures
  • Experience with Snowflake and Google BigQuery
  • Advanced proficiency in Python
  • Experience with GCP data services
  • Understanding of AI and analytics data requirements