Data/ML Engineer - Recommendations & Search (All genders)
Berlin, Germany
Zalando
Shop the latest fashion & shoes online | Free delivery* & returns on most of the orders | Over 1,900 Brands – new products every day!THE ROLE & THE TEAM
We are looking for a Data/ML Engineer to enhance our recommendation and search systems by building scalable data pipelines and improving ML workflows. You’ll work on processing large-scale datasets, optimizing feature engineering, and enabling efficient ML model deployment. This role is ideal for engineers who enjoy bridging data, machine learning, and production systems to deliver impactful solutions for millions of customers.
WHAT YOU’LL DO
Build and maintain scalable data pipelines to support ML models in recommendations and search.
Implement and optimize feature engineering pipelines to enhance model performance.
Collaborate with ML engineers and data scientists to productionize ML models, ensuring efficient deployment and monitoring.
Productionize ML models by orchestrating workflows (Apache Airflow) and deploying scalable, reliable solutions on AWS for real-time and batch inference.
Improve data quality and reliability for real-time and batch inference systems.
WE’D LOVE TO MEET YOU IF
3+ years of experience in ML Ops, Data Engineering, AWS, Apache Airflow, Python.
Strong problem-solving skills and ability to collaborate in cross-functional teams.
Bonus: Hands-on experience in deploying ML models at scale in production environments.
Bonus: Experience with feature stores and feature engineering pipelines.
INCLUSIVE BY DESIGN
At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups
OUR OFFER
Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
2 paid volunteering days a year
Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
27 days of vacation a year (for Zalando SE)
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available
Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Data pipelines Data quality Engineering Feature engineering Machine Learning ML models Model deployment Pipelines Python
Perks/benefits: Career development Fitness / gym Health care Relocation support Salary bonus
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