Data Engineering Jobs in Germany
There are 758 open Data Engineering jobs in Germany on freehire right now. 263 of them were posted recently. The skills employers ask for most often are python, sql and cloud.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| EUR | year | €68,750 | €80,000 | €88,325 | 15 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- python 46%
- sql 44%
- cloud 41%
- data-engineering 37%
- analytics 34%
- ai 30%
- etl 27%
- aws 24%
How the work is done
- Remote 82 · 11%
- Hybrid 70 · 9%
- Onsite 13 · 2%
Visa sponsorship offered in 70% of the 50 postings that state a position on it.
Seniority
- Senior 249
- Lead 28
- Junior 23
- Intern 22
- C-level 15
- Staff 10
Who is hiring
- 501-1000 employees 121
- 1000+ employees 116
- 51-200 employees 42
- 11-50 employees 16
- 201-500 employees 10
- 1-10 employees 1
Data Engineer (all genders)
Design and build scalable cloud data platforms and ETL/ELT pipelines in Python, orchestrated with Airflow/Dagster, running on AWS/Azure/GCP to power analytics and AI-driven solutions for Fortune-500 clients.
Senior Data Platform Engineer
Senior Data Platform Engineer designing and building governed data-sharing infrastructure (PostgreSQL, Debezium CDC, Kafka, DataHub) at an ad-tech company in Berlin.
Senior Data Engineer (d/m/w) - Banking / Data Analytics Personalisierung
The Senior Data Engineer will work within the Data Analytics Customer Engagement department at Sparkassen Rating und Risikosysteme to develop and implement data-driven solutions for risk management and banking analytics.
Data Platform Engineer (w/m/d)
The Data Platform Engineer will develop and operate data integration and ETL processes, focusing on geospatial data and scalable cloud platforms. The role involves implementing containerization, CI/CD pipelines, and automation to maintain and improve data-intensive applications.
Data Engineer (w/m/d)
Designs Geo-data integration processes using FME platform, develops FME-based solution components, and consults clients on Geo-data management. Core technologies: FME, Esri, Python, SQL, JavaScript, Oracle, PostGIS, MSSQL.
Consultant Data Engineer (m/w/d)
As a Data Engineering Consultant, you will work on client projects to design, implement, and operate intelligent systems and data pipelines. The role requires expertise in Python, SQL, Scala, or R, along with experience in ETL processes and productionizing machine learning models.
Senior Data Engineer
The Senior Data Engineer will build and maintain scalable data pipelines and observability tools to support fraud prevention systems. The role involves working with Python, Airflow, dbt, and Apache Flink to ensure reliable data for model training and real-time fraud detection.
Data Platform Engineer (m/w/d)
Data Platform Engineer operating and developing data platforms—automating provisioning, scaling, and backups; optimizing query performance, storage, and throughput; resolving production incidents; and defining security best practices.
Data Engineer Consultant Junior Level (m/w/d)
Junior Data Engineer Consultant designing and implementing BI, analytics, and data-warehouse solutions using SAP (BW, HANA, Datasphere, SAC, BTP), Power BI, Azure, Snowflake, Databricks, Python, R, and SQL for client projects out of Hamburg.
Junior Data Engineer (m/f/d)
Builds and maintains data pipelines, automates workflows, and assists in developing AI-driven solutions (e.g., coding agents) for a media/AdTech agency. Works with Python, cloud platforms, and AI tools to support business operations and innovation.
Data Engineer
This role involves designing and maintaining scalable data and AI solutions, including ETL pipelines and agentic workflows, to support Intelligence Community objectives. The engineer will collaborate with cross-functional teams to integrate LLM-based workflows and data platforms in an Agile environment.
Data Engineer
Designs and maintains data pipelines in AWS to feed analytics and ML services, working closely with data scientists and engineers to build scalable ETL workflows using Python, Spark, and SQL.