Synapse Analytics Jobs

1 Synapse Analytics jobs currently listed

Browse 1 open positions that require Synapse Analytics 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

  • Mostly Mid roles
  • Often paired with Azure Data Factory, Azure Functions, GitHub, Microsoft Fabric
  • Top locations: Hamburg

Market insights

Doehle is currently the most active employer hiring for Synapse Analytics.

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.

Doehle
On-site

Data Engineer (m/w/d) - Azure Cloud & MS Fabric

Hamburg, Germany - English (very good), German (very good)

Microsoft Fabric Azure Data Factory Synapse Analytics Azure Functions Python +3

Frequently Asked Questions

How many Synapse Analytics jobs are available right now?
There are currently 1 open positions that list Synapse Analytics as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires Synapse Analytics?
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.
Can I filter out jobs that use certain technologies?
Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Synapse Analytics jobs that don't use a particular framework or language.
Are salary ranges accurate?
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.