Senior Data Engineer - Lounge by Zalando (all genders)

Berlinonsitesenior

Posted today · via Workday

About this role

THE ROLE & THE TEAM Lounge by Zalando is a rapidly growing part of Zalando, now turning over billions of euros each year. That said, there is so much untapped potential with respect to personalization and recommendation. You will be a data engineer, working alongside backend engineers and data scientists to build large-scale recommender systems. As the largest online fashion retailer in Europe, we require a skilled engineer who can design, build, and maintain Machine Learning pipelines at a global scale. You will play a key role across the entire ML lifecycle, from designing and implementing robust batch and streaming preprocessing pipelines to enabling efficient model training and distribution for our real-time recommender systems.…

Read the full description on Zalando SE's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, cassandra, dynamodb, redis, spark…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Berlin. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythoncassandradynamodbredissparkhadoopflinkbeam

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