FI/CO Jobs

3 FI/CO jobs currently listed

Browse 3 open positions that require FI/CO 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

  • 2 companies hiring
  • Mostly Senior roles
  • Often paired with MM, SAP S/4HANA, pandas, Python
  • Top locations: Munich, Berlin
  • 1 new in the last 7 days

Market insights

FlixBus is currently the most active employer hiring for FI/CO.

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.

FlixBus 6 days ago
Hybrid

Senior SAP FICO Consultant (m/f/d)

Munich, Germany - German (fluent), English (fluent)

SAP S/4HANA FI/CO MM
FlixBus 2 months ago Reposted 11 time(s)
Hybrid

Senior SAP functional in-house Consultant (m/f/d)

Berlin, Germany - German (fluent), English (fluent)

SAP S/4HANA FI/CO MM
Helsing 4 months ago Open for 120+ days

Finance Data Engineer

Munich, Germany - English

Python pandas requests FastAPI SQL +3

Frequently Asked Questions

How many FI/CO jobs are available right now?
There are currently 3 open positions that list FI/CO as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires FI/CO?
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 FI/CO 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.