AP - Data Engineer (Remote) at D2B

Manila, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

150000.0

Posted On

11 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Snowflake, ETL, Data Warehousing, Microsoft Fabric, Azure, Fivetran, Coalesce, dbt, Power BI, Medallion Architecture, Dimensional Modelling, Microsoft Purview, AI Tools, Data Governance

Industry

Financial Services

Description

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 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 Strong communication skills and ability to work with clients directly Consulting experience is a plus, but a strong client-first mindset is essential Benefits Competitive salary based on experience and skill set 100% remote role — work from home anywhere in the Philippines Paid local holidays aligned with the Australian/New Zealand business calendar Opportunities for training and professional growth Work directly with a supportive Australian/New Zealand team — no agency middleman Long-term engagement with a stable and growing business

Responsibilities

Design and maintain scalable data pipelines and platforms using tools like Snowflake and Azure. Ensure data quality, reliability, and governance while collaborating with technical teams to optimize data architecture.