Databricks Unity Catalog Jobs

1 Databricks Unity Catalog jobs currently listed

Browse 1 open positions that require Databricks Unity Catalog experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.

By the numbers

  • Often paired with Collibra, Deequ, Great Expectations, Informatica
  • Top locations: Linz

Market insights

Bosch is currently the most active employer hiring for Databricks Unity Catalog.

Top hiring companies

What you'll find here

Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.

Bosch 2 weeks ago

Data Engineer mit Schwerpunkt Data Governance & Data Quality (w/m/div.)

Linz, Austria - English (very good), German (very good)

Python SQL Great Expectations Deequ Soda +3
€53.000+ /year

Frequently Asked Questions

How many Databricks Unity Catalog jobs are available right now?
There are currently 1 open positions that list Databricks Unity Catalog as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires Databricks Unity Catalog?
We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
Can I filter out jobs that use certain technologies?
Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Databricks Unity Catalog jobs that don't use a particular framework or language.
Are salary ranges accurate?
When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.