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(Senior) Data Modeler/Engineer(m/w/x)
Designing data models with historization for internal IT products, optimizing data pipelines. Experience with large datasets and complex data ecosystems required. Flexible working hours, lunch allowance, staff shopping discounts.
Requirements
- Strong experience in data modeling
- Solid understanding of data engineering principles
- Hands-on mindset for designing and troubleshooting data solutions
- Experience with large datasets and complex data ecosystems
- Familiarity with modern data platforms and tools
- Strong analytical and problem-solving skills
- Excellent communication skills
- Experience in the retail or CRM sector
- High level of personal responsibility
- Good communication and visualization skills
Tasks
- Design and maintain data models for business needs
- Implement historization techniques for data tracking
- Collaborate with teams to translate business requirements into data structures
- Build and optimize data pipelines and workflows
- Ensure data consistency and governance across systems
- Refactor existing data models to meet evolving needs
- Contribute to best practices for data modeling and engineering
- Support data engineers during implementation
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Snowflake
- dbt
- GCP
- Airflow
Benefits
Flexible Working
- Flexible working hours
- Remote working options
Learning & Development
- Training and development opportunities
Free or Subsidized Food
- Lunch allowance
Corporate Discounts
- Staff shopping discounts
- Travel discounts
Mental Health Support
- Workplace wellness programme
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(Senior) Data Modeler/Engineer(m/w/x)
Designing data models with historization for internal IT products, optimizing data pipelines. Experience with large datasets and complex data ecosystems required. Flexible working hours, lunch allowance, staff shopping discounts.
Requirements
- Strong experience in data modeling
- Solid understanding of data engineering principles
- Hands-on mindset for designing and troubleshooting data solutions
- Experience with large datasets and complex data ecosystems
- Familiarity with modern data platforms and tools
- Strong analytical and problem-solving skills
- Excellent communication skills
- Experience in the retail or CRM sector
- High level of personal responsibility
- Good communication and visualization skills
Tasks
- Design and maintain data models for business needs
- Implement historization techniques for data tracking
- Collaborate with teams to translate business requirements into data structures
- Build and optimize data pipelines and workflows
- Ensure data consistency and governance across systems
- Refactor existing data models to meet evolving needs
- Contribute to best practices for data modeling and engineering
- Support data engineers during implementation
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Snowflake
- dbt
- GCP
- Airflow
Benefits
Flexible Working
- Flexible working hours
- Remote working options
Learning & Development
- Training and development opportunities
Free or Subsidized Food
- Lunch allowance
Corporate Discounts
- Staff shopping discounts
- Travel discounts
Mental Health Support
- Workplace wellness programme
About the Company
REWE International IT
Industry
IT
Description
Das Unternehmen entwickelt innovative IT-Produkte und Services für alle Unternehmensbereiche im In- und Ausland.
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