Expert Data Engineering / ML Engineer (m/f/d)
Our digital teams are very diverse: We take care of things like programming, product development, product design (UX/UI), and web analysis. Everyone is pursuing a common goal: to create digital contact points between HSE and customers again and again with the latest technologies. Are you in?
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).
In the financial year 2023, HSE generated revenue of 624 million euros in the DACH region. 800 employees ensure a shopping experience that is both entertaining and customer oriented. Added to this are around 1,800 external jobs at logistics, call centre and tech development partners. The company has received multiple awards for its outstanding quality of service. HSE has been majority-owned by the investment firm Providence Equity Partners since 2012. Further information is available at corporate.hse.com and www.hse.com.
What you can expect:
- You contribute to the company’s data-driven strategy by enabling scalable ML/AI solutions and shaping the evolution of ML/MLOps system and software architecture
- You design and develop a state-of-the-art data and AI platform on AWS and Snowflake
- You architect, implement and optimise robust data and ML pipelines while building, scaling and maintaining ML/AI applications on AWS and Snowflake
- You automate ML processes including pipelines, deployments and model serving (MLOps)
- You collaborate with Data Science and Business Intelligence teams to deliver self-service BI, predictive analytics and machine learning solutions
- You continuously improve the stability, performance and automation of the data platform
Requirements
- You have proven experience in developing and deploying scalable ML pipelines, including building batch and streaming ELT pipelines as well as data warehouses and data lakes
- You possess a solid understanding of machine learning principles, MLOps practices and are proficient in at least one relational database technology and one ELT framework
- You bring hands-on expertise with cloud infrastructure – ideally AWS and SageMaker – and have experience with Snowflake and preferably Snowflake ML
- You are skilled in PySpark, dbt or similar tools and have advanced programming skills in Python and SQL
- You are familiar with CI/CD tools such as GitLab and have knowledge of data security and privacy regulations
- You demonstrate a growth mindset, learn and adapt quickly, and share your knowledge with the team
- You are fluent in English and German and are available to join us in the office two days per week
These are your benefits
We want your ideas: We offer you an exciting platform to experience TV and digital and to help shape the future of home shopping!
We offer fair working conditions and exciting development opportunities.
Work-life balance
With us you can have the perfect work-life balance – from home office, to flexible working hours or sabbaticals.
Benefits & compensation
We offer much more than just an attractive salary – such as allowances or bonuses.
Corporate culture
Our corporate culture is based on trust and appreciation – we are a team.
Further education & training
In addition to extensive orientation training, we offer several further education and training courses.
Your contact person
Sarah Glöckler , Your Recruiter
is looking forward to your message at
jobs@hse.com.
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Everything you need to know about applying with us
Where we work
Ismaning is located on the outskirts of Munich between the Bavarian capital and the airport. The HSE campus is 13 kilometers from the city center of Munich and is easy to reach by all means of transportation. The suburban train (S8) takes you from Ismaning to Munich’s Marienplatz in 23 minutes, or the airport terminal in just 15 minutes. There are also bus connections to the Studentenstadt (U6) and Arabellaparl (U4) subway station. Our campus offers everything you need: a cafeteria, roof terraces, various lawns, and green areas for a stroll during lunch, as well as plenty of free parking.
Home Shopping Europe GmbH
https://www.hse24.de/
http://www.hse24.com/media/layout/css_datei/css_images/hse24_logo~1.jpg?cid=3
2025-09-29
FULL_TIME
2025-09-29
Münchner Str. 101h
Ismaning
Bayern
85737
DE
DE
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