Remote Data Engineer — Snowflake, Python & AI Pipelines

D2B; Philippines; Remote; PHP 1,116,000 - 1,674,000; Full time

Benefits offered by this job

Remote work

Australian/New Zealand holidays

Training opportunities

Long-term engagement

Job summary

D2B is seeking a Data Engineer for a fully remote role based in the Philippines. The position focuses on building, maintaining, and optimizing data pipelines using Snowflake, dbt, and Python to support analytics and reporting.

You will collaborate across teams on data modelling, governance, and AI-enabled data products, with AU/NZ business hours. Salary ranges PHP 100,000–150,000 monthly; flexible for experience; holidays aligned with local calendar; and a long-term remote engagement.

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 building data pipelines and data products supporting AI/ML use cases.

Responsibilities

• Design and deliver modern data platforms using 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.

Skills

SQL

Python

Data modelling

Data governance

AI/ML data

Tools

Snowflake

dbt

Coalesce

Microsoft Fabric

Fivetran

Job description

D2B is seeking a Data Engineer for a fully remote role based in the Philippines. The position focuses on building, maintaining, and optimizing data pipelines using Snowflake, dbt, and Python to support analytics and reporting.

You will collaborate across teams on data modelling, governance, and AI-enabled data products, with AU/NZ business hours. Salary ranges PHP 100,000–150,000 monthly; flexible for experience; holidays aligned with local calendar; and a long-term remote engagement.