Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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€60к-70к/год
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Чётко очерченная роль в аналитической инженерии в продуктовой e-commerce компании: актуальный стек данных и ответственность за работу со смежными командами.
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Актуальный стекПонятные задачиПродуктовая компания
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Текст:
Hirify AI/Оригинал
TL;DR
Analytics Engineer - Shop Analytics (all genders) (E-commerce/Data Analytics): Design and maintain scalable data pipelines and automated reporting for shop performance, retail media partners, and advertising revenue attribution with an accent on SQL optimization, data modeling, web analytics, and data quality. Focus on building high-volume event and tracking models, orchestrating cloud data workflows, and translating business requirements into reliable technical solutions.
Location: Hybrid in Berlin, Germany
Salary: €60,000–€70,000 yearly
Company
hirify.global is a European e-commerce company operating at the intersection of fashion and technology, focused on personalizing and simplifying online shopping.
What you will do
Design, build, and maintain robust, scalable data pipelines for shop performance and retail media partner reporting.
Design and build automated reporting solutions based on business stakeholder requirements.
Enhance revenue attribution models and expand 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.
Expertise in data modeling, especially robust and flexible models for high-volume event and tracking data.
Solid understanding of frontend tracking and web analytics implementation, such as GA4.
Proficiency with data 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, and solve problems with attention to detail.
Excellent communication and collaboration skills for working with diverse stakeholders and cross-functional teams.
Nice to have
In-depth BigQuery knowledge, including cost optimization techniques 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, and clear ownership.
Inclusive environment that values acceptance, diverse backgrounds, and different perspectives.
Team lunches, afterwork drinks, company events, and informal opportunities to connect.
Additional employee perks are available through the company benefits program.
Hiring process
Apply online via the company career page.
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