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Digital OSS Data Platform Engineer

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design, build and manage data pipelines into the data warehouse

  • Oversee the lifecycle of the data platform

  • Plan the platform and infrastructure roadmap

  • Manage change and release planning with minimal impact

  • Plan and optimize infrastructure capacity for current and future demand

From the employer’s posting
Design, build and manage our data pipelines, ensuring all data is seamlessly integrated into our data warehouse.
responsible for overseeing the lifecycle of the data platform
Provide recommendation that outlines the evolution and development of the platforms and infrastructure
process of planning, approving, implementing, and monitoring changes and releases to the platform and infrastructure with minimal impact
planning, analyzing, and optimizing the resources required for infrastructure and platforms to meet current and future demand efficiently

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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
Apply at Globe International

Posting record

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Open 3 monthsWe first saw this posting 110 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 17, 2026110 days ago
Recorded sightings
102
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 110

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Globe International is hiring

17 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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  • Java
  • Python
  • Hadoop
  • Prefect
  • Dagster
Where the posting names them
- 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.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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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16F The Globe Tower

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