D2B
via Workable
AP - Data Engineer (Remote)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 8h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 127d ago
The date the source published, not the day we noticed it (2026-05-11). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Philippines
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$2,062–3,050/mo
Middle 50% of 11 listings that do state pay — Engineering · all levels · Philippines · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen 1h ago
The listing
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
- Strong communication skills and ability to work with clients directly
- Consulting experience is a plus, but a strong client-first mindset is essential
Benefits
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