Digital OSS Data Platform Engineer
Globe Telecom, Inc. (Globe) Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Globe Telecom, Inc. (Globe). 16F The Globe Tower · full-time.
Pay not stated Data Platform Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and run data pipelines that bring information together in the data warehouse
- Help shape architecture and engineering choices for the data platform
- Recommend how the platform and infrastructure should develop over time
- Plan and oversee platform changes and releases while limiting disruption
- Assess infrastructure capacity and tune resources for current and future needs
What you bring
- At least three years each in data engineering and platform engineering
- You can program in a language used for data engineering, such as Python or Java
- You have worked with distributed processing and storage technologies
- You have used an ETL scheduler such as Airflow, Dagster or a comparable framework
- You have managed internal stakeholders and vendor relationships
Who this fits
This mid-level role suits someone who can work across data pipelines and platform operations. Familiarity with automation, AI and machine learning in telecom, or knowledge of telecom technologies, is beneficial.
From the employer
At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.
Job Description
The ND Data Platform Engineer is responsible for overseeing the lifecycle of the data platform. This role also requires designing and managing data pipelines.Duties and Responsibilities:
Data Engineering Focus: Design, build and manage our data pipelines, ensuring all data is seamlessly integrated into our data warehouse. Participate in architecture and engineering decisions, bringing your strong experience and knowledge.
Platform / Infrastructure Roadmap - Provide recommendation that outlines the evolution and development of the platforms and infrastructure
Change & Release Management - process of planning, approving, implementing, and monitoring changes and releases to the platform and infrastructure with minimal impact
Capacity Dimensioning - planning, analyzing, and optimizing the resources required for infrastructure and platforms to meet current and future demand efficiently
Requirements:
- 3+ yrs experience in data engineering, 3+ yrs experience in platform engineering
- Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Java
- Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems
- Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks
- Familiarity with automation, AI, and machine learning applications in a telco environment is beneficial.
- Knowledge of telco-specific technologies
- Experience in managing internal stakeholders and vendor relationships
Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here
Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.
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