Spark Jobs
160 Spark jobs currently listed
Browse 160 open positions that require Spark 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
- 73 companies hiring
- Mostly Senior roles
- Often paired with Python, SQL, AWS, GCP
- Top locations: London, Berlin, Amsterdam
- 93% don't require German
- 11 new in the last 7 days
Market insights
About 26% of live Spark ads are listed as fully remote.
Remote policy
Remote 26%Hybrid 38%On-site 16%
9 of 160 live ads state a salary.
Seniority mix
- Senior 47%
- Staff 16%
- Mid 14%
- Lead 12%
- Principal 8%
- 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.
Staff / Senior Software Engineer (Agentic Search) - Crawler
Amsterdam, Netherlands +1 - English
ML Ops Engineer
Berlin, Germany - English
Staff Machine Learning Engineer, ML Efficiency
Netherlands (Remote) - English
Staff Machine Learning Engineer, ML Efficiency
United Kingdom (Remote) - English
Senior Forward Deployed Engineer - Full stack
London, United Kingdom - English
QA Engineer - Fuze Services
Dublin, Ireland - English
Forward Deployed Engineer - Emerging Enterprise & DNB
London, United Kingdom - English
Senior Forward Deployed Engineer - Architect
London, United Kingdom - English
Senior Forward Deployed Engineering - Architect
London, United Kingdom - English
Machine Learning Engineer
Oxford, United Kingdom - English
Senior Data Platform Engineer - OLAP
Amsterdam, Netherlands - English
Senior Machine Learning Engineer (all genders)
Berlin, Germany - English
Lead Data Engineer
English
Frequently Asked Questions
- There are currently 160 open positions that list Spark 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 Spark 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.