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Cloud Data Engineer(m/w/x)
Building automated data pipelines with Python/SQL for BI solutions at a live commerce provider with 1.3M customers. Mastery of Python for data engineering, cloud technologies, and modern DWH architectures required. Agile Scrum team environment, modern cloud tech stack.
Anforderungen
- Completed degree in computer science, business informatics, or comparable qualifications in data engineering or related fields
- Solid experience in SQL development, data modeling, and modern data warehouse architectures and design patterns
- Mastery of Python for data engineering, hands-on experience with cloud technologies, ETL tools, and data pipeline frameworks
- Familiarity with business intelligence platforms, analytics solutions, and machine learning infrastructure components
- Enjoyment of working in agile teams using Scrum, DevOps experience in data engineering environments
- Fluent German and English (minimum C1 level) for international collaboration and stakeholder communication
- Analytical mindset, passion for innovative big data technologies, and team spirit for cross-functional project collaboration
Aufgaben
- Develop modern data platforms using cloud technologies
- Operate modern data platforms
- Optimize ETL processes for data warehouse infrastructure
- Design scalable data architectures
- Implement automated data pipelines using Python and SQL for BI solutions
- Collaborate with data science and machine learning teams
- Deliver high-performance analytics solutions and data products
- Optimize data processing workflows
- Ensure performance of cloud data platforms for e-commerce analytics
- Define data modeling and data quality standards
- Support self-service BI applications
- Support data democratization
- Evaluate new cloud services and big data technologies for continuous improvement
- Work in agile DevOps teams
- Implement continuous integration for data engineering workflows
- Implement continuous integration for deployments
Ausbildung
- Bachelor-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- Cloud technologies
- ETL tools
- Data pipeline frameworks
- Business intelligence platforms
- Analytics solutions
- Machine learning infrastructure components
- Scrum
- DevOps
Noch nicht perfekt?
- Dataciders GmbHVollzeitnur vor OrtJuniorBerlin, München
- Westhouse Group
DWH und BI Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenGarching bei München - DACHSER
Data Warehouse Engineer - Business Intelligence(m/w/x)
Vollzeitnur vor OrtBerufserfahrenKempten (Allgäu), Neu-Isenburg, Frankfurt am Main, Unterschleißheim - Veact
Technical Lead – Data & Analytics(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - Isar Aerospace SE
Senior Data Engineer(m/w/x)
Vollzeitnur vor OrtSeniorOttobrunn
Cloud Data Engineer(m/w/x)
Building automated data pipelines with Python/SQL for BI solutions at a live commerce provider with 1.3M customers. Mastery of Python for data engineering, cloud technologies, and modern DWH architectures required. Agile Scrum team environment, modern cloud tech stack.
Anforderungen
- Completed degree in computer science, business informatics, or comparable qualifications in data engineering or related fields
- Solid experience in SQL development, data modeling, and modern data warehouse architectures and design patterns
- Mastery of Python for data engineering, hands-on experience with cloud technologies, ETL tools, and data pipeline frameworks
- Familiarity with business intelligence platforms, analytics solutions, and machine learning infrastructure components
- Enjoyment of working in agile teams using Scrum, DevOps experience in data engineering environments
- Fluent German and English (minimum C1 level) for international collaboration and stakeholder communication
- Analytical mindset, passion for innovative big data technologies, and team spirit for cross-functional project collaboration
Aufgaben
- Develop modern data platforms using cloud technologies
- Operate modern data platforms
- Optimize ETL processes for data warehouse infrastructure
- Design scalable data architectures
- Implement automated data pipelines using Python and SQL for BI solutions
- Collaborate with data science and machine learning teams
- Deliver high-performance analytics solutions and data products
- Optimize data processing workflows
- Ensure performance of cloud data platforms for e-commerce analytics
- Define data modeling and data quality standards
- Support self-service BI applications
- Support data democratization
- Evaluate new cloud services and big data technologies for continuous improvement
- Work in agile DevOps teams
- Implement continuous integration for data engineering workflows
- Implement continuous integration for deployments
Ausbildung
- Bachelor-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- Cloud technologies
- ETL tools
- Data pipeline frameworks
- Business intelligence platforms
- Analytics solutions
- Machine learning infrastructure components
- Scrum
- DevOps
Über das Unternehmen
HSE
Branche
Retail
Beschreibung
HSE is a leading provider of live commerce in Europe, offering shopping through TV channels, an online shop, an app, and social commerce.
Noch nicht perfekt?
- Dataciders GmbH
Cloud Data Engineer(m/w/x)
Vollzeitnur vor OrtJuniorBerlin, München - Westhouse Group
DWH und BI Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenGarching bei München - DACHSER
Data Warehouse Engineer - Business Intelligence(m/w/x)
Vollzeitnur vor OrtBerufserfahrenKempten (Allgäu), Neu-Isenburg, Frankfurt am Main, Unterschleißheim - Veact
Technical Lead – Data & Analytics(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - Isar Aerospace SE
Senior Data Engineer(m/w/x)
Vollzeitnur vor OrtSeniorOttobrunn