Job Description

Cloud Data Engineer (m/f/d)

HSE is a leading provider in the field of live commerce in Europe. The customers decide when and where they shop at HSE – whether through one of the three TV channels, the online shop, the award-winning HSE app or via social commerce. HSE represents the most entertaining form of shopping, inspiring 1.3 million active customers who value HSE’s curated product range from the areas of fashion, jewellery, beauty, wellness, household and home and living.
The company reaches about 46 million households in the DACH region through its three TV channels (HSE, HSE Extra and HSE Trend).
 

What you can expect:

• You develop and operate a modern data platform using cloud technologies and optimize ETL processes for our data warehouse infrastructure
• You design scalable data architectures and implement automated data pipelines with 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 cloud-based data platform for e-commerce analytics applications
• You define standards for data modeling and data quality while supporting self-service BI applications and data democratization
• 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

What you need to bring:

• You have a completed degree in computer science, business informatics, or comparable qualifications in data engineering or related fields
• You bring solid experience in SQL development, data modeling, and modern data warehouse architectures and design patterns
• 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, analytics solutions, and machine learning infrastructure components
• You enjoy working in agile teams using Scrum methodologies and have DevOps experience in data engineering environments
• You speak fluent German and English (minimum C1 level) for international collaboration and stakeholder communication
• You have an analytical mindset, passion for innovative big data technologies, and team spirit for cross-functional project collaboration

 

We look forward to receiving your application!