Airbyte Jobs
9 Airbyte jobs currently listed
Browse 9 open positions that require Airbyte 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, SQL, BigQuery, dbt
- Top locations: Berlin, Cork, London
- 1 new in the last 7 days
Market insights
Canonical is currently the most active employer hiring for Airbyte.
Seniority mix
- Senior 50%
- Lead 25%
- Mid 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.
Senior Data Platform Engineer
Cork, Ireland - English
Principal Data Engineer (Data Practice Lead)
London, United Kingdom (Remote) - English
Data Analyst (m/w/d)
Berlin, Germany - German (Fluent), English (Fluent)
Data Analyst (m/w/d)
Berlin, Germany - German (Fluent), English (Fluent)
Engineering Director - Business Data
Remote (22 countries) - English (Professional)
Senior Jira Administrator
Remote (EMEA) - English (Professional)
Lead Data Governance Engineer
Remote (EMEA) - English (professional)
Frequently Asked Questions
- There are currently 9 open positions that list Airbyte 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 Airbyte 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.