Dein persönlicher KI-Karriere-Agent
(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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- Snowflake
- Azure Data Factory
- DBT
- Azure Data Lake
Benefits
Flexibles Arbeiten
- Flexible working hours
- Hybrid work model
Familienfreundlichkeit
- Family-friendly working time models
- Parent-child offices
Gesundheits- & Fitnessangebote
- Company health management
Firmenfahrrad
- eBike leasing
Weiterbildungsangebote
- 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- Snowflake
- Azure Data Factory
- DBT
- Azure Data Lake
Benefits
Flexibles Arbeiten
- Flexible working hours
- Hybrid work model
Familienfreundlichkeit
- Family-friendly working time models
- Parent-child offices
Gesundheits- & Fitnessangebote
- Company health management
Firmenfahrrad
- eBike leasing
Weiterbildungsangebote
- Access to modern learning environment
Über das Unternehmen
DKV Mobility
Branche
Transportation
Beschreibung
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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