Dataciders GmbH
Cloud Data Engineer(m/w/x)
Full-timeOn-siteJunior
Berlin, München
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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.
Requirements
- 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
Tasks
- 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
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Cloud technologies
- ETL tools
- Data pipeline frameworks
- Business intelligence platforms
- Analytics solutions
- Machine learning infrastructure components
- Scrum
- DevOps
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of HSE and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorOttobrunn
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.
Requirements
- 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
Tasks
- 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
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Cloud technologies
- ETL tools
- Data pipeline frameworks
- Business intelligence platforms
- Analytics solutions
- Machine learning infrastructure components
- Scrum
- DevOps
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of HSE and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
HSE
Industry
Retail
Description
HSE is a leading provider of live commerce in Europe, offering shopping through TV channels, an online shop, an app, and social commerce.
Not a perfect match?
- Dataciders GmbH
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Technical Lead – Data & Analytics(m/w/x)
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Data Warehouse Engineer - Business Intelligence(m/w/x)
Full-timeOn-siteExperiencedKempten (Allgäu), Neu-Isenburg, Frankfurt am Main, Unterschleißheim - Isar Aerospace SE
Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorOttobrunn