Cloud Data Engineer (m/f/d)
Indexed description
We are one of Europe’s leading providers in the field of live commerce, offering the most entertaining way to shop as a media platform. With our curated product portfolio spanning fashion, jewelry, beauty, wellness, household, and home & living, we inspire countless viewers, fans, and followers every day across all channels – on TV, in our online shop, and on social media. By seamlessly connecting lifestyle themes and brand worlds, we are driving innovation in cross-channel shopping entertainment. Our customers decide when and where they want to shop with HSE.
What you can expect:
- You develop and operate a modern data lakehouse using cloud technologies and optimize ETL processes for our data warehouse infrastructure
- You design scalable data architectures and implement automated data pipelines with AWS, Python and SQL for business intelligence solutions
- You collaborate closely with data science and machine learning teams to deliver high-performance analytics solutions and data products
- You optimize data processing workflows and ensure performance of our AWS-based data platform for e-commerce analytics applications
- You evaluate new cloud services and big data technologies for continuous improvement of our data infrastructure and platform capabilities
- You work in agile DevOps teams and implement continuous integration practices for data engineering workflows and deployments
Your profile:
- You have a completed degree in computer science, business informatics, or comparable qualifications in data engineering or related fields
- You bring solid experience in AWS and platform engineering
- You excel at automating build and deployment processes using CI/CD tools like Gitlab pipelines or GitHub Actions
- You master Python for data engineering and have hands-on experience with cloud technologies, ETL tools, and data pipeline frameworks
- You are familiar with business intelligence platforms, in particular Snowflake, analytics solutions, and machine learning infrastructure components
- You enjoy working in agile teams using Scrum methodologies and have DevOps experience in data engineering environments, e.g. terraform
- You are fluent in English, German is a plus - You have an analytical mindset, passion for innovative big data technologies, and team spirit for cross-functional project collaboration
- You are willing to work on site at our campus 2 days per week
We look forward to receiving your application!
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