PySpark Jobs
45 PySpark jobs currently listed
Browse 45 open positions that require PySpark 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
- 31 companies hiring
- Mostly Senior roles
- Often paired with Python, SQL, Spark, Databricks
- Top locations: London, Berlin, Edinburgh
- 91% don't require German
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 Azure Data Engineer (Databricks)
Edinburgh, United Kingdom +1 - English
Senior Data Engineer - Data Science Platform
London, United Kingdom - English
ETL Test Engineer
London, United Kingdom - English
(Senior) Data Engineer (m/f/x)
Berlin, Germany - English
Data Engineer Data Platform (f/m/d)
Ottobrunn, Germany +1 - English
Data Scientist (m/f/x)
Berlin, Germany - English (fluent)
Staff / Senior Software Engineer - Machine Learning (m/f/d)
Berlin, Germany - English
Data Engineer (junior/medior)
Zwolle, Netherlands - English
Security Engineer - Offensive Security
Ireland - English
Senior Machine Learning Engineer
London, United Kingdom - English
Senior Data Science/ML Engineer - Financial Crime
Berlin, Germany - English
Data Engineer | BEES Personalization
Brazil (Remote) - English (Intermediate)
Senior Data Engineer | Bees Personalization
English (Advanced)
Senior Data Scientist | BEES Personalization
São Paulo, Brazil (Remote) - English
Data Engineer | BEES Data
English (Advanced)
Director, Data Science - Deep Learning & AI
Berlin, Germany - English
Data Platform Engineer (Mid-Level) (m/f/d)
Berlin, Germany - English (fluent)
Frequently Asked Questions
- There are currently 45 open positions that list PySpark 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 PySpark 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.