About the role

  • Senior Data Engineer analyzing and integrating data to support wellness-focused decision-making. Collaborating with teams and developing reporting systems using modern data technologies.

Responsibilities

  • Data analysis: You conduct analyses that support data-driven decisions across all areas of the company.
  • Modern data stack: You work with a mature tech stack: data in Snowflake, modeling with dbt and reporting with Amazon QuickSight.
  • Data integration: You use a central data warehouse that consolidates many data sources: POS systems, sales data, movement data, web tracking and e‑commerce data across the entire customer journey — from product listing through cart to payment and usage.
  • Requirements management: You are the central contact for reporting requests and for the further development of our complex data model.
  • Collaboration: Together with our internal developers and external partners you help our business teams make consistently better data-driven decisions.
  • Business understanding: You understand our business model, know the details of workflows and the goals of your colleagues. You support them with consulting and tailored reports.

Requirements

  • Experience: You have several years of experience as a Data Engineer or Data Architect, ideally in a company with web and app products.
  • Cloud: Experience with cloud solutions such as Snowflake and AWS is a plus.
  • SQL skills: Confident handling of complex SQL queries is required.
  • Tooling: Experience with dbt and Git is desirable.
  • Business Intelligence: You have experience with BI tools such as Tableau, Power BI or Looker – we use Amazon QuickSight.
  • Governance: Knowledge of data governance and an understanding of security requirements and compliance (GDPR).
  • Soft skills: Strong communication skills in German (min. C1) and English, solution-oriented mindset and ability to work well in a team.
  • Organizational skills: You work in a structured way, prioritize effectively and have experience with tools such as Jira or Asana.

Benefits

  • Exclusive employee benefits: Use our products and services at preferential conditions — a real plus for your well-being.
  • Flexible & fair: Whether shift work or flexitime — we offer fair, modern working time models that fit your life.
  • Smooth onboarding: A structured onboarding program with a training plan and a buddy program ensures you feel welcome 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 plan that goes beyond statutory requirements give you peace of mind.
  • Complimentary drinks & perks: Refreshments are on us — plus attractive meal discounts with our partner restaurants.

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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