Data Engineer Jobs in Germany
Data Engineer jobs in Germany center on Python (70% of postings), with demand spread across languages, data engineering, cloud. Roles concentrate in Berlin
Market snapshot
- 276 postings analyzed · 128 companies
- Top skill: Python (70%)
- Top city: Berlin
- Hybrid: 47%
The skill landscape
Languages
- Python · 70%
- SQL · 68%
- Java · 12%
- Scala · 10%
- JavaScript · 5%
- TypeScript · 4%
Data engineering
- Data Engineering · 40%
- ETL · 37%
- Data Pipelines · 35%
- Analytics · 33%
- Apache Spark · 30%
- Apache Airflow · 30%
Cloud
- AWS · 35%
- Azure · 32%
- Google Cloud · 18%
- S3 · 9%
- RDS · 2%
- EC2 · 2%
DevOps
- Monitoring · 23%
- Terraform · 20%
- Docker · 17%
- Kubernetes · 16%
- DevOps · 11%
- Linux · 5%
Top locations
- Berlin · 11%
- Munich · 7%
- Hamburg · 7%
- Frankfurt · 4%
- Karlsruhe · 3%
- Stuttgart · 2%
Insights
Python is the price of entry, not your edge
Python appears in 70% of postings, near-universal.
Do this: Listing Python only keeps you in the room. Differentiate on the rarer skills, and tie Python to a concrete outcome.
This role is less remote than it feels
Only 14% of postings are fully remote. Hybrid is 47% and onsite 13%.
Do this: Plan your search around being reachable from a hub; treat fully-remote roles as a bonus, not the baseline.
FAQ
- What skills do you need as a Data Engineer in Germany?
- Python leads at 70% of postings. Companies typically want a combination of Languages, Data engineering, Cloud. Put concrete, quantified examples of each on your CV.
- Where in Germany do Data Engineer jobs cluster?
- Berlin leads among the postings that name a location. The rest don't specify a city in the data we have, so they aren't mapped here. That is a gap in the posting data, not a sign the role is location-flexible.
- Are Data Engineer jobs remote in Germany?
- This role is unusually flexible: 47% of postings are hybrid and 14% fully remote. Onsite-only is a minority at 13%.