AI Engineering

Posted 8 Hours Ago
Be an Early Applicant
Tower, Cork, IRL
In-Office
Mid level
Digital Media • Information Technology • Marketing Tech • Mobile
The Role
Build and scale reusable finance data products and production ETL; apply AI-assisted development for code, testing, documentation, and automation; support credit risk model validation (IFRS 9 ECL) and data lineage; translate finance needs into technical solutions and recommendations.
Summary Generated by Built In

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 Build and maintain Finance application, analytics, and automation use-cases by applying AI-augmented development as part of standard delivery

RESPONSIBILITIES

  • Build and scale reusable data products that serve repeat demand across portfolios
  • Apply AI-assisted development to code, testing, documentation, and workflow automation
  • Design and operate production ETL -- ingestion, cleansing, rationalization, scheduling, monitoring
  • Support credit risk model work, particularly IFRS 9 ECL validation and data lineage
  • Translate business needs from Finance into technical solutions and actionable recommendations

ESSENTIAL SKILLS

  • Python and SQL at production grade -- modular code, testing, error handling
  • Software engineering fundamentals -- version control, code review, CI/CD
  • ETL and orchestration experience at production scale
  • Demonstrated AI-assisted delivery -- not just tool familiarity
  • Depth in one cloud data platform; Databricks preferred
  • Product mindset -- builds for the next user, not just the requester; documentation and handover as default

STRONG ADVANTAGE

  • Credit risk domain -- portfolio behaviour, collections, provisioning, IFRS 9 ECL
  • Telco or regulated financial services delivery
  • Platform administration across AWS, GCP, or Databricks
  • Responsible AI practice -- data classification, redaction boundaries, model governance

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.

Skills Required

  • Python and SQL at production grade (modular code, testing, error handling)
  • Software engineering fundamentals (version control, code review, CI/CD)
  • ETL and orchestration experience at production scale
  • Demonstrated AI-assisted delivery (not just tool familiarity)
  • Depth in one cloud data platform (Databricks preferred)
  • Product mindset including documentation and handover
  • Credit risk domain knowledge (portfolio behaviour, collections, provisioning, IFRS 9 ECL)
  • Telco or regulated financial services delivery experience
  • Platform administration across AWS, GCP, or Databricks
  • Responsible AI practice (data classification, redaction boundaries, model governance)
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The Company
8,380 Employees
Year Founded: 1935

What We Do

Globe Telecom Inc is a leading Philippine digital solutions platform primarily focused on telecommunications. The company provides a comprehensive suite of products and services, including mobile, home broadband, corporate data, and fixed-line voice. In addition to connectivity, Globe focuses on venture capital, venture building, shared services, and digital marketing solutions to empower Filipinos with reliable communication and digital tools.

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