Azure Databricks Jobs
9 Azure Databricks jobs currently listed
Browse 9 open positions that require Azure Databricks 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
- 5 companies hiring
- Mostly Senior roles
- Often paired with Python, Azure, SQL, Spark
- Top locations: London, Cologne, Stuttgart
- 1 new in the last 7 days
Market insights
TelefonicaTech is currently the most active employer hiring for Azure Databricks.
Seniority mix
- Senior 38%
- Junior 25%
- Mid 13%
- Lead 13%
- Principal 13%
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.
Platform Engineer – Data Science & AI Platform
London, United Kingdom - English
Associate Data Engineer
London, United Kingdom - English
Senior Data Engineer (m/f/d)
Cologne, Germany - English
ETL Test Engineer
London, United Kingdom - English
Lead Data Consultant
London, United Kingdom - English
Data Platform Architect
London, United Kingdom - English
Principal Data Consultant
London, United Kingdom - English
Frequently Asked Questions
- There are currently 9 open positions that list Azure Databricks as a required skill. This number updates daily as new jobs are posted.
- 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.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Azure Databricks jobs that don't use a particular framework or language.
- 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.