Data Engineer: Build Reliable ETL Pipelines and BI Models

BillEase; Philippines; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

BillEase in the Philippines is seeking a Data Engineer to support data architecture, infrastructure, and the reporting ecosystem. You will ensure reliable data pipelines, optimize cloud performance, and deliver high-quality data to business stakeholders and BI tools.

This role focuses on maintaining cloud-based data infrastructure, building ETL pipelines with Airflow, and enabling fast, accurate analytics. Ideal candidates have 2–4 years in data engineering or cloud operations and a fintech

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, or related field.
• 2–4 years of experience in data engineering, infrastructure, or cloud operations.
• Financial services or fintech background preferred.
• Strong problem-solving and troubleshooting abilities.

Responsibilities

• Maintain and optimize cloud-based data infrastructure.
• Build, monitor, and troubleshoot ETL pipelines.
• Ensure data pipeline reliability, quality, and timely delivery.
• Support data governance, security, and access controls.

Skills

SQL

AWS

ETL/Orchestration

Python

Data Modeling

BI Tools

Docker

ClickHouse

MongoDB

Elasticsearch

Data quality frameworks

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Airflow

Kafka Connect

Job description

BillEase in the Philippines is seeking a Data Engineer to support data architecture, infrastructure, and the reporting ecosystem. You will ensure reliable data pipelines, optimize cloud performance, and deliver high-quality data to business stakeholders and BI tools.

This role focuses on maintaining cloud-based data infrastructure, building ETL pipelines with Airflow, and enabling fast, accurate analytics. Ideal candidates have 2–4 years in data engineering or cloud operations and a fintech