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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
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- ABOUT YOUFull-timeWith HomeofficeExperiencedHamburg, Berlin
- ABOUT YOU
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Analytics Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg
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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
ABOUT YOU
Industry
Fashion
Description
The company empowers acceptance and shapes an inclusive, fair, and circular fashion culture.
Not a perfect match?
- ABOUT YOU
Analytics Engineer - Shop Analytics(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg, Berlin - ABOUT YOU
Senior Analytics Engineer - Shop Analytics(m/w/x)
Full-timeWith HomeofficeSeniorHamburg, Berlin - The Quality Group GmbH
(Senior) Analytics Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg, Elmshorn, Kaltenkirchen, Elsdorf - ABOUT YOU
Data Analyst(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg - Eraneos
Analytics Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg