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Data Engineer - Mid & Senior Levels(m/w/x)
Description
You collaborate with business and technical teams to develop cloud-based Data Warehouse solutions, focusing on optimizing data pipelines and maintaining efficient ETL processes while ensuring reliable deployment and scalability.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Several years experience as a Data Engineer
- •Practical experience in data pipeline development
- •Eager to collaborate within an interdisciplinary team
- •Care about code quality, simplicity and performance
- •Working proficiency in verbal and written English
- •German speaking and writing skills are a strong plus
Work Experience
approx. 4 - 6 years
Tasks
- •Collaborate with business and tech experts to understand client needs.
- •Deliver cloud-based Data Warehouse solutions using Azure services.
- •Develop and optimize data pipelines for performance and efficiency.
- •Maintain ETL processes with tools like Databricks, Spark, and Kafka.
- •Implement CI/CD pipelines for automated testing and deployment.
- •Enhance data platform functionality and scalability using best practices.
Tools & Technologies
Languages
German – Business Fluent
English – Business Fluent
Benefits
More Vacation Days
- •30 days vacation
Flexible Working
- •Hybrid working
Modern Office
- •Central modern offices
Learning & Development
- •Full support for training
Informal Culture
- •Friendly international workplace
Modern Equipment
- •State of the art technology
Team Events
- •Company parties and events
Retirement Plans
- •BaV Pension with contribution
Corporate Discounts
- •Discounted travel options
Career Advancement
- •Strong industry partner network
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Data Engineer - Mid & Senior Levels(m/w/x)
The AI Job Search Engine
Description
You collaborate with business and technical teams to develop cloud-based Data Warehouse solutions, focusing on optimizing data pipelines and maintaining efficient ETL processes while ensuring reliable deployment and scalability.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Several years experience as a Data Engineer
- •Practical experience in data pipeline development
- •Eager to collaborate within an interdisciplinary team
- •Care about code quality, simplicity and performance
- •Working proficiency in verbal and written English
- •German speaking and writing skills are a strong plus
Work Experience
approx. 4 - 6 years
Tasks
- •Collaborate with business and tech experts to understand client needs.
- •Deliver cloud-based Data Warehouse solutions using Azure services.
- •Develop and optimize data pipelines for performance and efficiency.
- •Maintain ETL processes with tools like Databricks, Spark, and Kafka.
- •Implement CI/CD pipelines for automated testing and deployment.
- •Enhance data platform functionality and scalability using best practices.
Tools & Technologies
Languages
German – Business Fluent
English – Business Fluent
Benefits
More Vacation Days
- •30 days vacation
Flexible Working
- •Hybrid working
Modern Office
- •Central modern offices
Learning & Development
- •Full support for training
Informal Culture
- •Friendly international workplace
Modern Equipment
- •State of the art technology
Team Events
- •Company parties and events
Retirement Plans
- •BaV Pension with contribution
Corporate Discounts
- •Discounted travel options
Career Advancement
- •Strong industry partner network
About the Company
KI group GmbH
Industry
IT
Description
KI performance transforms how organisations use data and empower them for the new era of AI. The company focuses on building data platforms and AI products to generate measurable value, partnering with Microsoft, Databricks, and the KI group ecosystem.
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