D2B
via Workable
Senior Snowflake Engineer (Data Engineer)
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 12h 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 56d ago
The date the source published, not the day we noticed it (2026-07-21). Last seen at its source just now.
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 just now
The listing
Position : Senior Data Engineer
Salary : 3,000 - 5,000 NZD
Working Hours & Conditions : New Zealand working hours
OVERVIEW:
This isn't a role where you'll be handed a ticket queue. You'll own meaningful pieces of work, shape how we build, and have a direct hand in what the company becomes over the next few year.
RESPONSIBILITIES:
- Design and deliver modern data platforms using tools like Snowflake, Microsoft Fabric, Azure, Fivetran, Coalesce, dbt, and Power BI
- Lead projects end-to-end - from architecture through to client handover
- Champion data governance practices that make platforms trustworthy and scalable
- Support clients through the change that comes with adopting new ways of working with data
- Help build internal standards and frameworks that shape how the whole team works
- Lift capability across the team - by doing good work and being someone others learn from
Requirements
QUALIFICATIONS:
- 5+ years of experience in data engineering or modern data platform delivery
- Strong SQL and Python, plus hands-on experience with Snowflake, Microsoft Fabric, Fivetran, Coalesce, or dbt
- Solid understanding of medallion architecture and dimensional modelling
- Familiarity with data governance and metadata tools like Microsoft Purview and Coalesce Catalog
- Comfortable using AI tools to accelerate development, whether that's Claude, Snowflake Cortex, or similar
- Experience building data pipelines and data products that support AI and ML use cases, including an understanding of what clean, well-structured data looks like for model consumption
- A track record of owning projects and delivering results, not just contributing to them
- The communication skills to work directly with clients and earn their trust
- Previous consulting experience is a plus, but a client-first mindset matters more