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(Senior) Data Engineer(m/w/x)
Designing and maintaining scalable, cloud-based data landscapes with Snowflake, Azure Data Factory, DBT, and Azure Data Lake. Strong SQL and Python expertise required. Hybrid work, flexible hours, and parent-child offices.
Requirements
- Degree in (business) mathematics, computer science, economics, or comparable field
- Relevant professional experience in data domain (e.g., BI Engineer, Data Engineer)
- Strong expertise in SQL and Python
- Proven experience developing cloud-based data pipelines using Snowflake, Azure Data Factory, DBT, and Azure Data Lake
- Analytical skills and project management capabilities
- Strong goal orientation and problem-solving mindset
- Confident communication in German and English
Tasks
- Work in an innovative and fast-growing environment
- Leverage strong communication skills to translate data into business value
- Develop data-driven products in an agile manner
- Address business questions through data pipelines and product development
- Design and maintain a scalable, cloud-based data landscape
- Establish a new foundation for data handling at DKV
- Prepare and present results clearly and compellingly
- Tailor presentations to business partners
- Stay open to new approaches
- Continuously optimize solutions for better performance, quality, and cost efficiency
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Snowflake
- Azure Data Factory
- DBT
- Azure Data Lake
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
Family Support
- Family-friendly working time models
- Parent-child offices
Healthcare & Fitness
- Company health management
Company Bike
- eBike leasing
Learning & Development
- Access to modern learning environment
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(Senior) Data Engineer(m/w/x)
Designing and maintaining scalable, cloud-based data landscapes with Snowflake, Azure Data Factory, DBT, and Azure Data Lake. Strong SQL and Python expertise required. Hybrid work, flexible hours, and parent-child offices.
Requirements
- Degree in (business) mathematics, computer science, economics, or comparable field
- Relevant professional experience in data domain (e.g., BI Engineer, Data Engineer)
- Strong expertise in SQL and Python
- Proven experience developing cloud-based data pipelines using Snowflake, Azure Data Factory, DBT, and Azure Data Lake
- Analytical skills and project management capabilities
- Strong goal orientation and problem-solving mindset
- Confident communication in German and English
Tasks
- Work in an innovative and fast-growing environment
- Leverage strong communication skills to translate data into business value
- Develop data-driven products in an agile manner
- Address business questions through data pipelines and product development
- Design and maintain a scalable, cloud-based data landscape
- Establish a new foundation for data handling at DKV
- Prepare and present results clearly and compellingly
- Tailor presentations to business partners
- Stay open to new approaches
- Continuously optimize solutions for better performance, quality, and cost efficiency
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Snowflake
- Azure Data Factory
- DBT
- Azure Data Lake
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
Family Support
- Family-friendly working time models
- Parent-child offices
Healthcare & Fitness
- Company health management
Company Bike
- eBike leasing
Learning & Development
- Access to modern learning environment
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
DKV Mobility
Industry
Transportation
Description
The company is part of a leading European B2B platform for on-the-road payment solutions, committed to a sustainable future of mobility.
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