
(Junior) Cloud Data Engineer (m/w/d)
Flaschenpost3 days ago
Berlin, GermanyEntry Level
Responsibilities
- Take responsibility for smaller subprojects and independent work packages after a short onboarding period.
- Support the development and evolution of the company’s data architecture using modern technologies.
- Develop architecture concepts with BI experts and help implement initial Data Analytics use cases.
- Build or improve data pipelines and data transformations.
- Help introduce, improve, and automate efficient CI/CD workflows.
- Continuously optimize Data Analytics solutions by learning new tools and methods.
- Share progress independently, seek feedback when needed, and support interns and working students.
Requirements
- Initial practical experience with databases and Data Engineering, gained through internships, working-student roles, or semester projects.
- Experience building small data pipelines or performing data transformations.
- Initial SQL knowledge and interest in Big Data tools such as Hadoop, Spark, or Kafka.
- Interest in cloud technologies and ideally initial exposure to Microsoft Azure and its data services.
- Ideally, knowledge of DevOps methods and CI/CD workflows, preferably with Azure DevOps or GitLab CI.
- Initial programming experience in Python or C#/.NET and willingness to learn additional programming languages and frameworks.
- Independent and structured working style with strong teamwork and communication skills.
- Fluent German and good written and spoken English skills.
Benefits
- Flexible working hours and mobile-work options.
- Job ticket and business-bike benefits.
- Free drinks and startup-style leisure activities such as table tennis and table football.
- Personal learning journey with varied training opportunities.
- Buddy program supporting onboarding.
- Modern technical equipment and a focus on innovation.
- Team, networking, and company-sports events.
- Corporate discounts, including shopping, fitness, Hansefit, and Urban Sports Club offers.
- Opportunity to donate blood during working hours.
Tech Stack
Categories
Data Engineering