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Чётко очерченная роль в аналитической инженерии в продуктовой e-commerce компании: современные инструменты и ответственность за значимые бизнес-данные.
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Текст:
Hirify AI/Оригинал
TL;DR
Analytics Engineer - Shop Analytics (SQL/dbt/BigQuery): Design and maintain scalable data pipelines and automated reporting for shop performance, retail media partners, and advertising revenue attribution with an accent on data modeling, web analytics, and data quality. Focus on optimizing big-data queries, building robust event and tracking models, and translating stakeholder requirements into reliable technical solutions.
Location: Berlin, Germany; hybrid workplace
Salary: €60,000–€70,000 yearly
Company
hirify.global is a European e-commerce company combining fashion and technology to create personalized online shopping experiences.
What you will do
Design, build, and maintain scalable data pipelines for shop performance and retail media partner reporting.
Build automated reporting solutions based on business stakeholder requirements.
Enhance revenue attribution models and reporting capabilities for the advertising platform.
Own data quality across data assets.
Collaborate cross-functionally with product, technology, and retail media teams.
Requirements
At least 3 years of relevant experience.
Advanced SQL skills, including query optimization for big-data environments.
Experience with data transformation tools such as dbt in big-data contexts.
Data modeling expertise focused on robust, flexible models for high-volume event and tracking data.
Solid understanding of frontend tracking and web analytics implementation, such as GA4.
Proficiency with orchestration tools such as Dagster or Airflow and cloud-based big-data platforms such as Google BigQuery or AWS Redshift.
Experience with optimization techniques including partitioning and clustering.
Ability to work independently, drive projects forward, translate business requirements into technical solutions, solve problems, and maintain attention to detail.
Strong communication and collaboration skills for working with diverse stakeholders and cross-functional teams.
Nice to have
In-depth BigQuery knowledge, including cost optimization and complex functionalities.
Experience with CI/CD pipelines and infrastructure-as-code tools such as GitLab CI/CD or Terraform.
Practical experience with containerization technologies such as Docker.
Culture & Benefits
Flat hierarchies, direct communication, pragmatic decision-making, ownership, and clear responsibility.
Collaborative environment with team lunches, afterwork drinks, company events, and informal coffee breaks.
Inclusive culture focused on acceptance, inclusion, and diverse perspectives.
Additional benefits are provided through the company benefits program.
Hiring process
Apply online via the company career page.
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