Data Engineer
₱100,000 – ₱150,000 / mth base salary
Posted 22 Jan 2026
Advertised as “AP - Data Engineer (Remote)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
| Base salary | ₱100,000 – ₱150,000 / mth |
|---|
Note: This is for active pooling purposes only. Submitting your application does not guarantee employment. Your details will be kept on file and considered for future opportunities as they become available.
We are seeking a dedicated and detail-oriented Data Engineer to join our team. This remote role involves building, maintaining, and optimizing data pipelines and infrastructure to support analytics and reporting. The successful candidate will focus on data extraction, transformation, and modelling to ensure accurate and reliable data across systems. This role requires strong skills in SQL, Python, and Snowflake, along with experience in ETL processes and data warehousing. Strong attention to detail and data quality is essential.
Position: Data Engineer
Salary: PHP 100,000 - PHP 150,000/month (flexible for more experienced candidates)
Working Hours & Conditions: AU/NZ business hours; Mondays to Fridays, 6:00AM to 3:00PM PH Time; full-time (remote)
Holidays: TBD
Responsibilities:
- Design and deliver modern data platforms using tools like Snowflake, Microsoft Fabric, Azure, Fivetran, Coalesce, dbt, and Power BI
- Build and maintain scalable data pipelines and data models
- Ensure data quality, reliability, and governance standards are met
- Support data integration, transformation, and warehousing processes
- Contribute to internal standards, frameworks, and best practices
- Collaborate with technical teams to improve data architecture and performance
- Continuously improve data workflows and engineering processes
Requirements
Qualifications:
- 3+ years of experience in data engineering or modern data platform delivery
- Strong proficiency in SQL and Python
- Hands-on experience with Snowflake, Microsoft Fabric, Fivetran, Coalesce, or dbt (data build tool)
- Solid understanding of medallion architecture and dimensional modelling
- Familiarity with data governance and metadata tools such as Microsoft Purview and Coalesce Catalog
- Experience using AI tools such as Claude, Snowflake Cortex, or similar to accelerate development
- Experience building data pipelines and data products supporting AI/ML use cases, with understanding of clean, model-ready data
- Proven ability to own and deliver end-to-end projects with measurable outcomes