Data Engineering Jobs in Germany
There are 754 open Data Engineering jobs in Germany on freehire right now. 262 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 78 · 10%
- Hybrid 70 · 9%
- Onsite 13 · 2%
Visa sponsorship offered in 70% of the 50 postings that state a position on it.
Seniority
- Senior 245
- Lead 28
- Junior 23
- Intern 22
- C-level 15
- Staff 10
Who is hiring
- 501-1000 employees 121
- 1000+ employees 115
- 51-200 employees 42
- 11-50 employees 16
- 201-500 employees 10
- 1-10 employees 1
Junior Data Engineer (Databricks) (m/w/d)
Builds and maintains data pipelines on Databricks, integrates and cleans data from various sources, and collaborates with teams to ensure data quality and performance.
Snowflake Senior Data Engineer (m/w/d)
Design and build modern Snowflake data platforms, automate pipelines with Airflow/Dagster, and advise clients on cloud-native data architectures using SQL, Python, and dbt.
Analytics Engineer / BI & Data Engineer
Builds and optimizes Power BI reports and semantic models for ERP data, using advanced DAX and SQL to modernize legacy reporting in IFS Cloud.
Data Engineer
ZONTAL is seeking a Data Engineer to build and maintain robust ETL/ELT pipelines and data infrastructure using Python, Apache Airflow, and AWS. The role involves collaborating with data science teams to automate workflows and improve data processing efficiency while ensuring data quality and security.
Data Engineer
The Junior Data Engineer will build and scale a modern data platform to support AI, BI, and analytics for a financial services company. The role involves developing ETL pipelines using Python, AWS, Spark, and dbt.
Staff Data Engineer (f/m/d)_metrify
Staff Data Engineer owning and building the central data platform for Enpal's smart metering unit (Metrify), designing scalable pipelines end to end using dbt, Snowflake, Airflow, and Azure infrastructure.
Finance Data Engineer
The Finance Data Engineer will build and maintain automated, AI-driven finance pipelines and agentic workflows to ensure data sovereignty and compliance. The role involves integrating SAP and other financial systems while implementing strict data classification and validation frameworks.
Data Governance Managerin / Data Governance Manager (w/m/d)
You’ll shape BVG’s enterprise-wide data governance framework, setting standards and processes to ensure safe, consistent, and actionable data use across teams and leadership.
Data Engineer Data Warehouse & Governance (m/w/d)
Builds and maintains the Allianz Private Krankenversicherung’s data warehouse, models data with dbt, and integrates KI tools (e.g., Claude Code) for ETL, quality checks, and governance. Bridges business needs with technical solutions while ensuring compliance and self-service analytics.
Data Engineer Data Warehouse & Analytics (m/w/d)
Builds and maintains the data warehouse and analytics infrastructure for a private health insurer, modeling data with dbt, ensuring quality for claims processes, and enabling self-service reporting.
Teamleitung (m/w/d) - Datenmanagement | Data Engineering
Leads a team in data management and data engineering, supporting banks with risk management, regulatory control, and data analytics solutions.
Data Engineer (all genders welcome)
Data Engineer designing and operating scalable batch and streaming data pipelines on a Databricks/Azure lakehouse platform, using SQL, Python, and modern data tooling for a global technology group.
Senior Data Engineer (m/w/d) - Microsoft Fabric & AI
The Senior Data Engineer will design and implement data solutions using Microsoft Fabric and AI technologies within a cloud-first environment. The role focuses on leveraging the Microsoft Azure ecosystem to deliver scalable data architectures for clients.