The AI Job Search Engine
Analytics Engineer(m/w/x)
Building and enhancing data pipelines for e-commerce shop performance and retail media analytics. Advanced SQL for big data, dbt, and GA4 experience required. 40% online shop discount, free sports courses.
Requirements
- 3 years of experience
- Advanced SQL skills, big data query optimization
- Experience with data transformation tools (dbt)
- Data modeling expertise for high-volume data
- Solid frontend tracking and web analytics (GA4)
- Proficiency with data orchestration (Dagster, Airflow) and cloud big data platforms (Google BigQuery, AWS Redshift)
- Experience with optimization techniques (partitioning, clustering)
- Strong independent work and project driving
- Excellent communication for stakeholder collaboration
- Problem-solving approach, attention to detail
- Ability to translate business to technical solutions
- Collaborative mindset, cross-functional team experience
- In-depth BigQuery knowledge, cost optimization
- Experience with CI/CD pipelines and IaC (GitLab CI/CD, Terraform)
- Practical experience with containerization (Docker)
Tasks
- Develop and maintain scalable data pipelines for shop performance
- Develop and maintain scalable data pipelines for retail media reporting
- Enhance data models for user behavior
- Enhance data models for retail media performance
- Design and build automated reporting solutions for stakeholders
- Enhance revenue attribution models
- Expand reporting capabilities for the advertising platform
- Maintain high data quality across all data assets
- Collaborate with product, tech, and retail media teams
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- dbt
- GA4
- Dagster
- Airflow
- Google BigQuery
- AWS Redshift
- GitLab CI/CD
- Terraform
- Docker
Benefits
Flexible Working
- Flexible working hours
Corporate Discounts
- 40% online shop discount
Snacks & Drinks
- Fresh fruits and drinks
Learning & Development
- Language courses
Healthcare & Fitness
- Free sports courses
- Reduced gym membership
- German health insurance
Public Transport Subsidies
- Subsidized public transport ticket
Company Bike
- Job bikes
Modern Equipment
- Free choice of hardware and OS for private use
Modern Office
- Modern office
Other Benefits
- Free conference access
- Relocation assistance
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Analytics Engineer(m/w/x)
Building and enhancing data pipelines for e-commerce shop performance and retail media analytics. Advanced SQL for big data, dbt, and GA4 experience required. 40% online shop discount, free sports courses.
Requirements
- 3 years of experience
- Advanced SQL skills, big data query optimization
- Experience with data transformation tools (dbt)
- Data modeling expertise for high-volume data
- Solid frontend tracking and web analytics (GA4)
- Proficiency with data orchestration (Dagster, Airflow) and cloud big data platforms (Google BigQuery, AWS Redshift)
- Experience with optimization techniques (partitioning, clustering)
- Strong independent work and project driving
- Excellent communication for stakeholder collaboration
- Problem-solving approach, attention to detail
- Ability to translate business to technical solutions
- Collaborative mindset, cross-functional team experience
- In-depth BigQuery knowledge, cost optimization
- Experience with CI/CD pipelines and IaC (GitLab CI/CD, Terraform)
- Practical experience with containerization (Docker)
Tasks
- Develop and maintain scalable data pipelines for shop performance
- Develop and maintain scalable data pipelines for retail media reporting
- Enhance data models for user behavior
- Enhance data models for retail media performance
- Design and build automated reporting solutions for stakeholders
- Enhance revenue attribution models
- Expand reporting capabilities for the advertising platform
- Maintain high data quality across all data assets
- Collaborate with product, tech, and retail media teams
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- dbt
- GA4
- Dagster
- Airflow
- Google BigQuery
- AWS Redshift
- GitLab CI/CD
- Terraform
- Docker
Benefits
Flexible Working
- Flexible working hours
Corporate Discounts
- 40% online shop discount
Snacks & Drinks
- Fresh fruits and drinks
Learning & Development
- Language courses
Healthcare & Fitness
- Free sports courses
- Reduced gym membership
- German health insurance
Public Transport Subsidies
- Subsidized public transport ticket
Company Bike
- Job bikes
Modern Equipment
- Free choice of hardware and OS for private use
Modern Office
- Modern office
Other Benefits
- Free conference access
- Relocation assistance
About the Company
ABOUT YOU
Industry
Fashion
Description
The company empowers acceptance and shapes an inclusive, fair, and circular fashion culture.
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