Data Engineering Jobs in Germany
There are 793 open Data Engineering jobs in Germany on freehire right now. 406 of them were posted recently. The skills employers ask for most often are sql, python and cloud.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| EUR | year | €73,750 | €77,500 | €85,000 | 15 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- sql 60%
- python 55%
- cloud 51%
- data-engineering 45%
- analytics 44%
- etl 38%
- ai 35%
- azure 34%
How the work is done
- Hybrid 252 · 32%
- Remote 52 · 7%
- Onsite 18 · 2%
Visa sponsorship offered in 77% of the 13 postings that state a position on it.
Seniority
- Senior 237
- Intern 46
- Junior 29
- Lead 23
- C-level 10
- Staff 8
Who is hiring
- 1000+ employees 68
- 501-1000 employees 23
- 51-200 employees 10
- 201-500 employees 9
- 11-50 employees 5
- 1-10 employees 3
Intern (m/f/d) Propulsion Test Data Engineer
About Rocket Factory Augsburg At Rocket Factory Augsburg (RFA) , we have one clear goal: to create low-cost, flexible, and reliable access to space. We specialize in building small launch vehicles designed to deploy…
IT Spezialist Data Governance und Compliance (m/w/d)
Zusammen wachsen: Karriere mit der LVM Wir sind einer der größten Arbeitgeber in Münster – auch in der IT-Branche. Gestalte gemeinsam mit über 700 IT-Kolleg:innen die digitale Zukunft unserer Versicherung. Die IT@LVM…
Data Engineer
Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before. As a data…
Intern Data Engineer / Data Scientist Finance (m/f/x)
Internship in Kautex's global finance team in Bonn, building data pipelines, data platforms and BI products to automate financial and cross-functional reporting, with RPA, bots and MS Power Platform, and moving from descriptive analytics toward predictive and adaptive models.
Azure Data Engineer (m/w/d) - Datenbankentwicklung/BI, Ingenieur
Deine Aufgaben Analyse der Daten für Unternehmensentscheidungen Entwicklung von Datenmodellen als Grundlage für den Aufbau von BI Applikationen Design und Umsetzung von Data Pipelines für Workflows der Daten-analyse…
Data Engineer (m/w/d) - Datenbankentwicklung/BI, Ingenieur
Consulting-firm data engineer who drives client data projects: building data warehouses, ETL pipelines, data models, CI/CD, and deploying ML models to cloud systems while working directly with customers. Core stack: Python and SQL with dbt, Google Cloud Platform (BigQuery, Dataflow), Docker/Kubernetes, and BI tools like Tableau and PowerBI.
Data Engineer Datenplattform (m/w/d) - Datenbankentwicklung/BI, Ingenieur
Data Engineer at EDEKA IT in Hamburg developing and maintaining data products, architectures, and pipelines on the Azure/Databricks data platform for the EDEKA retail group, focusing on customer, transaction, and master data with strong data quality and governance.
Data Engineer (w/m/d) - Datenbankentwicklung/BI, Ingenieur
Wie sieht deine Mission aus? Du konzipierst Prozesse zur (Geo-)Datenintegration und setzt diese auf Basis der FME® Plattform und weiterer Technologien um. Du entwickelst FME basierte Lösungsbausteine unter Anwendung…
Consultant Data Engineer (m/w/d) - Consulting, Datenbankentwicklung/BI, Ingenieur
Dein Profil: Du hast sehr gute analytische und problemlösende Fähigkeiten Du hast Spaß am Umgang mit Zahlen Du verfügst über Kenntnisse in der Programmierung mit Python, SQL, Scala oder R Du hast erste Erfahrungen mit…
Snowflake Data Engineer (m/w/d) - Datenbankentwicklung/BI, Ingenieur
Snowflake Data Engineer (m/w/d) Bei EDEKA IT Stiftung & Co. OHG in Augustaanlage 60, Mannheim - Job-ID: EIT-421268 Einsatzort## Mehrere Orte Eintrittsdatum## Ab sofort Beschäftigungsart## Vollzeit Befristung## Nein…
Data Engineer
Position: Data Engineer Relocation to Netherlands or Germany In This Role, You Will Architect and lead the development of large-scale systems for data pipelines, data lakes that handle billions of daily events. Design…
Data Engineer/ Database Manager (m/w/d), befristet auf 2 Jahre
Fixed-term (2-year) Data Engineer/Database Manager role at DATALOGUE in Hamburg: building and maintaining data infrastructures, acquiring and integrating data from client systems and interfaces, and evolving the data warehouse and BI environment. Core stack is SQL and relational databases with ETL/ELT; PostgreSQL, PL/SQL, PHP and Python are pluses.
(Senior) SAP Consultant - Master Data Governance (Stammdaten) (m/w/d)*
SAP consulting role at XL2, an IT consultancy joint venture of Audi and Capgemini serving automotive-industry clients. You act as the Master Data Governance expert — integrating interfaces to a single point of truth, advising business and IT teams, and guiding projects from concept through go-live and support. Core stack: SAP S/4HANA and SAP MDG.
Data Engineer (m/w/d)
Data Engineer at a German IT consulting group building modern data platforms for clients on Microsoft Fabric and Azure — designing Lakehouse/warehouse architectures, automating batch/streaming pipelines, writing SQL/Python/Spark transformations, and establishing DevOps and governance practices while enabling Power BI analytics.
Data Engineer (m/w/d)
Builds and operates edding Group's Snowflake-based cloud data platform on Azure: integrating data sources, developing batch and streaming ETL/ELT pipelines with Python, managing infrastructure as code with Terraform, and creating data marts that feed Power BI analytics.
(Senior) Data Engineer (m/f/d)
Senior Data Engineer at Fehrmann Materials X who designs and runs scalable, governed data pipelines on Microsoft Azure, building a materials data ecosystem that links simulation (DFT/MD) and laboratory data for analytics and AI/ML/RAG applications. Core stack: Python, SQL, Azure data services, CI/CD, and messaging.
(Senior) Data Platform Architect (w/m/d)
Consulting role advising leading German financial institutions on scalable, cloud-based data platform architectures: designing high-performance systems, translating business requirements into technical architectures, and applying AI-assisted methods while coaching team members. Core stack includes Docker, Kubernetes, Spark, Kafka, Databricks, and Azure/GCP.