Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Full Remote
Job Summary
In this role, you will design and operate a powerful data platform, develop robust pipelines using Fivetran and Python, and optimize our Data Warehouse for critical business insights.
Job Technologies
Your role in the team
- We're looking for a (Senior) Data Engineer (m/f/d) who's ready to leave a real mark.
- You will take ownership of our data platform, drive the architecture of scalable and reliable data products — and play a central role in shaping our Data Warehouse to the next level.
- As the core of our data hub, you'll connect teams, technologies, and insights, setting the technical direction for how we work with data across the entire organisation.
- You design and own the architecture of our end-to-end data platform, including ingestion, transformation, and serving layers.
- You lead the development of robust data pipelines using Fivetran, Airbyte, and Python - setting engineering standards for the team.
- You drive data modeling excellence in Databricks using advanced SQL, dbt, and data quality frameworks like elementary.
- You define and enforce data quality standards, ensuring reliable data marts that power business-critical decisions.
- You act as technical lead, collaborating closely with the Product Owner and Business Insights team on complex data challenges.
- You own and evolve our cloud infrastructure on AWS, driving infrastructure-as-code with Terraform (IaC).
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Our expectations of you
Qualifications
- You're proficient in SQL, Python, dbt, and Git - and have a strong track record of building production-grade pipelines.
- You have a deep understanding of data modeling, data warehouse design, and data quality best practices.
- You're a strong communicator who can bridge the gap between engineering and business stakeholders.
- You're self-driven, take ownership end-to-end, and thrive in a remote, async-first environment.
Experience
- You have several years of hands-on experience as a Data Engineer, ideally in a cloud-native environment.
- You bring experience with cloud platforms (AWS preferred) and tools like Databricks, Fivetran, or Airbyte.
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What we offer
- Start: Immediately
- Level: Mid - Senior
- Location: Germany, remote
- Working Hours: Full Time (40h/Week)
- Being part of our team means joining a high-performing company with a diverse and inclusive culture.
- In our fast-growing team of over 1,200 employees, we combine our passion for sports nutrition, supplements, and healthy foods with cutting-edge technology, production, and logistics processes.
- All of this serves one goal: providing our customers with top-quality products to support their healthy and active lifestyle.
- You can look forward to a strong sense of team spirit, ongoing opportunities for professional growth and responsibility, and an exciting work environment that blends lifestyle and career.
- With locations in Hamburg, Elmshorn, Kaltenkirchen/Nützen, and Elsdorf, TQG offers diverse career opportunities in areas such as technology, product development, sales, marketing, and logistics.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
The Quality Group GmbH
Wir sind einer der führenden Anbieter von unternehmensweiter und zukunftsorientierter Beratung und von Lösungen für die Optimierung und Strukturierung von Geschäftsprozessen, Informationen, Dokumentationen und Verantwortlichkeiten.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Engineer
- Location
- Berlin
- Working Model
- Full Remote
- Diversity
- Open for all genders
- English Only
- English only required
