Data Platform Engineer - Cloud-Native Data & MLOps

East West Banking Corporation; Manila; Hybrid; PHP 900,000 - 1,300,000; Full time

Job summary

East West Banking Corporation in Metro Manila invites experienced data professionals to join the Enterprise Data Office as a Data Platform Engineer. You will develop cloud-native data platforms and implement DataOps/MLOps practices to support scalable, secure data solutions.

Collaborate with Data Scientists, Risk, Engineering and IT Operations to ensure governance, compliance and reliability. Hybrid work arrangement with opportunities for growth and hands-on exposure to modern data tooling such

Qualifications

• Degree in Computer Science, Information Systems, Engineering, or related field.
• At least 3 years of data engineering/platform engineering experience.
• Hands-on with Databricks, dbt, Kafka, Python, SQL, and Airflow or dbt Cloud.
• CI/CD experience with GitLab or similar deployment platforms.
• Knowledge of DataOps, MLOps, IaC, Docker, Kubernetes; banking regulatory familiarity is a plus.

Responsibilities

• Develop and maintain cloud-native data platforms using Databricks, dbt, Kafka and cloud services.
• Implement DataOps and MLOps with CI/CD, automated testing, monitoring, and deployment pipelines.
• Manage code repositories and deployment pipelines through GitLab with version control and governance.
• Ensure platforms meet performance, security, audit, and governance requirements and support data lineage.

Skills

Databricks

dbt

Kafka

Python

SQL

Airflow

dbt Cloud

GitLab

Docker

Kubernetes

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

GitLab

Docker

Kubernetes

Job description

East West Banking Corporation in Metro Manila invites experienced data professionals to join the Enterprise Data Office as a Data Platform Engineer. You will develop cloud-native data platforms and implement DataOps/MLOps practices to support scalable, secure data solutions.

Collaborate with Data Scientists, Risk, Engineering and IT Operations to ensure governance, compliance and reliability. Hybrid work arrangement with opportunities for growth and hands-on exposure to modern data tooling such