Data Engineer (102-06SENG-01)
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 3h 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 110d ago
The date the source published, not the day we noticed it (2026-06-24). 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?
Canada
The listing is tagged as above, but its own description restricts the role to LATAM. We show both rather than picking one. Read the ad before applying.
What the ad says
…Open to candidates in Latin America…
Pay not stated
Similar roles pay CA$137.5k–195k/yr
Middle 50% of 313 listings that do state pay — Engineering · all levels · Canada · CAD/year. 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
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Recruitee employer's own board first seen 3h ago · last seen just now
The listing
Cloudary is a cloud consulting firm founded and led by senior cloud architects. We embed Principal-Vetted engineers directly into high-performing North American tech teams — acting as agile, hands-on experts driving critical data and AI initiatives.
We are looking for a Data Engineer to join a Canadian client's team on a short-term contract engagement with the possibility of extension.
You'll work closely with data and analytics stakeholders to build and maintain data pipelines, model data in Microsoft Fabric, and support the delivery of high-quality Power BI reports.
What you'll be doing
Designing, building, and maintaining data pipelines using Python and SQL
Developing and managing data models within Microsoft Fabric Data Warehouse
Creating, publishing, and optimizing Power BI dashboards and reports for business stakeholders
Collaborating with analysts and business teams to understand reporting requirements and translate them into scalable data solutions
Ensuring data quality, consistency, and performance across ingestion and transformation layers
What we're looking for
Strong hands-on experience with Python and SQL for data engineering tasks
Proven experience working with Microsoft Fabric Data Warehouse
Strong Power BI experience
Ability to work independently, communicate clearly with stakeholders, and deliver within a defined timeline
English proficiency at a B2+ level (daily communication with the client team)
Tech stack
Python, SQL, Microsoft Fabric Data Warehouse, Power BI
Engagement details
Fully remote
Contract position (independent contractor)
3-month engagement with the possibility of extension
Open to candidates in Latin America