You perform analyses that support data-driven decisions across all areas of the company.
You work with a mature tech stack: data in Snowflake, modeling with dbt, and reporting with Amazon QuickSight.
You use a centralized data warehouse with diverse data sources: POS systems, sales data, transaction and movement data, web tracking, and e‑commerce data across the entire customer journey — from product listings through cart and payment to usage.
You are the primary contact for reporting requests and the further development of our complex data model.
Together with our internal developers and external partners, you help our business teams systematically make increasingly better data-driven decisions.
You understand our business model, know the details of all workflows and your colleagues' objectives. You support them with advice and tailored reports.

You have several years of experience as a Data Engineer or Data Architect, ideally in a company with web and app products.
Experience in e-commerce is particularly valuable — you understand how items move through the system architecture (from the online shop through ordering processes to billing).
Knowledge of cloud solutions such as Snowflake and AWS is a plus.
Strong proficiency with complex SQL queries is required.
Experience with dbt and Git is desirable.
You have experience with BI tools such as Tableau, Power BI, or Looker — we use Amazon QuickSight.
Knowledge of data governance and an understanding of security requirements and compliance (e.g., GDPR).
You are a strong communicator in German (at least C1) and English, solution-oriented, and enjoy working in a team.
You can discuss technical details with service providers and support colleagues with data analysis.
You work in a structured way, prioritize effectively, and have experience with tools like Jira or Asana.

Exclusive employee benefits: Use our products and services at special rates — a real plus for your well-being.
Flexible & fair: Whether shift work or flexible hours — we offer fair, modern working time models that fit your life.
Easy onboarding: A structured onboarding program with a training plan and buddy system ensures you feel comfortable from day one.
Individual development opportunities: We invest in you and support your growth through personal training with a dedicated budget.
Stability & security: As part of an established corporate group, you benefit from strong backing, modern structures, and long-term job security.
More for life: Childcare subsidy, bike leasing, corporate fitness, and a company pension scheme that goes beyond statutory requirements give you and us peace of mind.
Free drinks & food perks: Refreshments are on us — plus attractive meal discounts with our partner restaurants.

Senior Data Engineer

Key skills