AI Engineering

globe; Cebu City; On-site; PHP 1,000,000 - 2,000,000; Full time

Job summary

Globe in the Philippines is seeking a Finance data engineer to build and maintain analytics and automation use-cases with AI-augmented development as part of standard delivery.

You will create scalable data products, implement AI-assisted development across code, testing, and workflow automation, and design production ETL pipelines with a focus on IFRS 9 ECL data lineage and risk analytics.

Qualifications

• Production-grade Python/SQL development
• CI/CD and version control basics
• ETL pipelines in production data platforms
• AI-assisted delivery experience
• Cloud data platform expertise (Databricks preferred)

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

Skills

Python

SQL

Software engineering fundamentals

ETL production-scale

AI-assisted delivery

Databricks

Tools

Databricks

Job description

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.