Job
- Level
- Junior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Schöppingen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you support the migration to a cloud-based data platform, develop ETL pipelines using SQL and Python, and work on semantic models for Power BI and data engineering projects.
Job Technologies
Your role in the team
- You support the ongoing migration of our existing MySQL Data Warehouse to a modern cloud-based data platform and work closely with our Senior Data Engineer.
- You are involved in the development and enhancement of data architectures that combine Lakehouse concepts with traditional data warehousing (Star/Snowflake schemas).
- You develop and operate ETL/ELT pipelines using SQL and Python, learning from experienced colleagues.
- You assist in applying and continuously developing standards for data modeling, testing, deployment, and documentation.
- You work on CI/CD pipelines with automated tests and deployments, using GitHub as the central platform for version control.
- Together with our analysts, you develop robust semantic models as the foundation for Power BI and self-service analytics.
- You support cross-functional projects related to Data Engineering and work closely with experienced engineers.
- Regular team updates help you share knowledge, create transparency, and continuously develop our data platform.
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Our expectations of you
Education
- You have gained initial practical experience in Data Engineering or Data Warehousing — for example, as a working student, during an apprenticeship, or in an entry-level junior position — and have ideally already gained some insights into Cloud environments.
Qualifications
- You have good knowledge of SQL and are continuously developing your skills in Python to create efficient data pipelines.
- A genuine interest in modern data architectures as well as the motivation to design scalable and sustainable data platforms distinguish you.
- Initial contact with CI/CD, DevOps practices, and Git/GitHub is advantageous — however, what matters most is your willingness to familiarize yourself with these topics.
- A structured and proactive work approach, as well as curiosity, willingness to learn, and openness to feedback, will help you continuously develop yourself.
- Strong communication skills, team spirit, and the joy of developing solutions together with experienced colleagues complete your profile.
- Proficiency in English at C1 level enables you to collaborate in an international environment. German is a significant advantage but not a prerequisite.
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What we offer
- Company culture: Open culture, flat hierarchies, initiative is encouraged.
- Employment Contracts: Permanent positions offer long-term security.
- Flexibility: Flexible working hours and options for remote work and full-remote contracts.
- Equipment: Free choice of work hardware.
- Onboarding: Well-structured onboarding with support from a personal "Buddy".
- Work environment: An inspiring environment with dedicated colleagues and a dynamic community.
- Development opportunities: Diverse chances for personal growth and development.
- Additional benefits: Attractive perks such as company pension schemes, health programs, and regular team events.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
shopware AG
Shopware is a leading e-commerce system that is used by some of the largest European brands, retailers and manufacturers in the B2C and B2B sector.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade, Internet, IT, Telecommunication
Junior Data Engineer
- Location
- Schöppingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
