Bauhaus AG
68167 Mannheim - Deutschland
Data Engineer
Arbeit
Vollzeit
ab 18.12.2025
Beschreibung
The Digital Commerce division is committed to digitalization as a means of creating a networked BAUHAUS of the future. Our focus is always on the customer and we aim to create the perfect digital shopping experience. An agile working environment, innovative solutions and committed employees drive the business - and the best indication of this is the company's success: With over 290 specialist centers in 19 countries and one of the top 50 online stores in Germany, BAUHAUS is one of the most succe...
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The Digital Commerce division is committed to digitalization as a means of creating a networked BAUHAUS of the future. Our focus is always on the customer and we aim to create the perfect digital shopping experience. An agile working environment, innovative solutions and committed employees drive the business - and the best indication of this is the company's success: With over 290 specialist centers in 19 countries and one of the top 50 online stores in Germany, BAUHAUS is one of the most successful players in Europe. And we look forward to being even better with your help!
* As an Experienced Data Engineer (m/w/d) in our product team Order Management you are responsible for the implementation of data mappings and design of data flows in an agile environment
* You develop, operate and monitor ETL processes
* You automate and accelerate data flows
* You design and develop data and analytics platforms further as well as the data warehouse architecture
* You enable less experienced colleagues through coaching and code reviews
* Successfully completed studies in the MINT area or a comparable one with several years of professional experience
* At least three years of relevant professional experience as Data Engineer (m/f/d) and in designing scalable data pipelines as well as data warehouse architecture
* Very good knowledge of a programming language e.g. Python or Java in the context of high throughput and parallel data processing
* Broad expertise in SQL/NoSQL systems and large-scale data processing
* Strong working knowledge of GCP data platforms (BigQuery, Pub/Sub, Dataflow, Datastream, Cloud SQL, Cloud Storage) and cloud-native pipeline design
* Proactive personality with a strong focus on agile teamwork and very good knowledge of English and ideally good German skills
* Good together. Even better with you: A challenging role in a family owned business with an agile working environment as well as flat hierarchies and teamwork
* Flexibility for a good work-life balance: Possibility of working remotely, flexible working hours outside of core working hours, 30 days paid vacation with up to 12 additional unpaid vacation days
* State-of-the-art working environment on the BAUHAUS campus: Flexible working areas with modern equipment, our own BAUHAUS restaurant and bistro as well as BAUHAUS day care center
* Stability and security: Permanent employment contract and attractive remuneration
* Employee benefits: Shopping discounts through the BAUHAUS employee card, corporate benefits, company pension plan and much more
* Technology & innovation: We rely on state-of-the-art technologies and promote personal and professional growth
* Networking: Regular BAUHAUS team events strengthen our team spirit
Welcome to #TeamBAUHAUS.
Click here for your online application!
BAUHAUS is looking forward to receiving your application.
Bitte beachten: Papierbewerbungen werden nicht zurückgesendet.
Weitere Infos gibt es unter https://jobs.bauhaus.info.
* As an Experienced Data Engineer (m/w/d) in our product team Order Management you are responsible for the implementation of data mappings and design of data flows in an agile environment
* You develop, operate and monitor ETL processes
* You automate and accelerate data flows
* You design and develop data and analytics platforms further as well as the data warehouse architecture
* You enable less experienced colleagues through coaching and code reviews
* Successfully completed studies in the MINT area or a comparable one with several years of professional experience
* At least three years of relevant professional experience as Data Engineer (m/f/d) and in designing scalable data pipelines as well as data warehouse architecture
* Very good knowledge of a programming language e.g. Python or Java in the context of high throughput and parallel data processing
* Broad expertise in SQL/NoSQL systems and large-scale data processing
* Strong working knowledge of GCP data platforms (BigQuery, Pub/Sub, Dataflow, Datastream, Cloud SQL, Cloud Storage) and cloud-native pipeline design
* Proactive personality with a strong focus on agile teamwork and very good knowledge of English and ideally good German skills
* Good together. Even better with you: A challenging role in a family owned business with an agile working environment as well as flat hierarchies and teamwork
* Flexibility for a good work-life balance: Possibility of working remotely, flexible working hours outside of core working hours, 30 days paid vacation with up to 12 additional unpaid vacation days
* State-of-the-art working environment on the BAUHAUS campus: Flexible working areas with modern equipment, our own BAUHAUS restaurant and bistro as well as BAUHAUS day care center
* Stability and security: Permanent employment contract and attractive remuneration
* Employee benefits: Shopping discounts through the BAUHAUS employee card, corporate benefits, company pension plan and much more
* Technology & innovation: We rely on state-of-the-art technologies and promote personal and professional growth
* Networking: Regular BAUHAUS team events strengthen our team spirit
Welcome to #TeamBAUHAUS.
Click here for your online application!
BAUHAUS is looking forward to receiving your application.
Bitte beachten: Papierbewerbungen werden nicht zurückgesendet.
Weitere Infos gibt es unter https://jobs.bauhaus.info.
Ref-Nr.: 8271169
Aktualisiert:
03.02.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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