Data Science & Engineering jobs in Switzerland
| Job title | Company |
|---|---|
| Data analyst (w/m/d) | Hapimag AG |
| Data Specialist, Full Stack Developer, AI Solutions (80%) | Square Commodities SARL |
| Business Intelligence-Spezialist*In (50-80%) | Datawise GmbH |
| Data Engineer | Swissquote |
| Analytics / Matomo Engineer (m/w/d 50–80%) | Layer |
| Data & Analytics Engineering | Innovation Process Technology AG |
| Senior Data & Analytics Engineering | Innovation Process Technology AG |
| Junior Full-Stack Data Scientist | Ergon Informatik AG |
| Senior Data Engineer (m/w/x) | Bring! Labs |
| Senior Data Engineer (m/w/d 80-100%) | Banian AG |
| Data Scientist - Quantitative Finance | Rockstar Recruiting AG |
| Data Scientist Intern | Swissquote |
| Senior Data Science Consultant | Rockstar Recruiting AG |
| Data Engineer (Data Vault, Databricks) | Rockstar Recruiting AG |
| ML/Data Engineer (remote EU) | Rockstar Recruiting AG |
You can find Data Engineer salaries in Switzerland here.
How many Data Engineer jobs are in Switzerland?
Currently, there are 19 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is Switzerland a good place for Data Engineers?
Switzerland is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in Switzerland?
Hapimag AG, Square Commodities SARL, Datawise GmbH, Swissquote, Layer, Innovation Process Technology AG, Ergon Informatik AG among others, are currently hiring for Data roles in Switzerland.
The company with most openings is Rockstar Recruiting AG as they are hiring for 4 different Data Engineer jobs in Switzerland. They are probably quite committed to find good Data Engineers.
The company with most openings is Rockstar Recruiting AG as they are hiring for 4 different Data Engineer jobs in Switzerland. They are probably quite committed to find good Data Engineers.