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Why this grade This listing scored 18/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Required Skills & Experience: A minimum of 10 Years of experience as a Data Engineer. Strong proficiency in: Power BI Desktop Power BI Service (Workspaces, Gateways, Deployment Pipelines) DAX (advanced level) Power Query (M Language). Hands on experience in Microsoft Fabric, including at least one of the following: Lakehouse Data Engineering / Pipelines Dataflows Gen2 Warehouse Strong understanding of data modeling, relational & dimensional modeling concepts. Experience working with large datasets and optimizing report performance. Ability to work independently, communicate clearly, and collaborate with cross-functional teams.
Preferred Qualifications Experience with Azure data ecosystem (Azure Data Lake, Synapse, Databricks, ADF). Background supporting enterprise analytics for finance, audit, or consulting environments. Familiarity with CI/CD for Power BI and governance best practices.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 19 Jul 2026 Himalayas first sighting
Seen on 1 board over 0 days.