Databricks Jobs
134 Databricks jobs currently listed
Browse 134 open positions that require 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
- 63 companies hiring
- Mostly Senior roles
- Often paired with Python, SQL, AWS, Azure
- Top locations: London, Berlin, Amsterdam
- 86% don't require German
- 14 new in the last 7 days
Market insights
About 17% of live Databricks ads are listed as fully remote.
Remote policy
Remote 17%Hybrid 42%On-site 12%
9 of 134 live ads state a salary.
Seniority mix
- Senior 53%
- Mid 14%
- Lead 13%
- Staff 10%
- Principal 6%
- Junior 4%
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.
(Senior) Consultant Data Engineering (m/w/d)
Germany (Remote) - German (C1), English
Senior Data Engineer (m/w/d)
Munich, Germany - German (fluent), English (fluent)
Senior AI Engineer (m/w/d)
Germany (Remote) - German (C2), English
Senior Cloud Data Engineer (all genders)
Munich, Germany - German (very good), English (good)
Data Engineer (m/w/d) - Azure Cloud & MS Fabric
Hamburg, Germany - German (very good), English (very good)
Software Developer und Consultant mit Schwerpunkt Data (w/d/m)
Munich, Germany - German (C1), English
Senior AI Data Engineer (all genders)
Stuttgart, Germany - German (C1), English (B2)
(Senior) Data Engineer – Databricks (m/w/d)
Berlin, Germany (Remote) - German
Principal Data Engineer (m/w/d)
Munich, Germany - German (fluent), English (fluent)
(Associate) Consultant Data Platform Engineering (m/w/d)
Bonn, Germany (Remote) - German, English
Frequently Asked Questions
- There are currently 134 open positions that list 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 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.