THE ROLE & THE TEAM

Zalando Marketing Service (ZMS) stands for a new era of marketing in e-commerce. The company helps partners to shape love brands, create strong customer relationships, and accelerate their business, by integrating data-infused and inspirational marketing. ZMS enables fashion, beauty and lifestyle partners to engage with ~50 million active customers across 25 European markets on Zalando and beyond, and provides access to exclusive fashion and lifestyle audiences. Based on deep customer insights, smart marketing tools, assortment and content creation expertise across >50K campaigns, ZMS drives the marketing and sales impact of its partners seamlessly along the path to purchase, from brand awareness, to consideration and conversion.
We are ambitious and committed to be the starting point of fashion for our customers and partners; therefore we are re-founding and scaling our Applied Science and Engineering backbone for Ads Personalization working backwards from user, content and context understanding.
As a Senior Data Engineer in ZMS machine learning operations, you will work with talented scientists and engineers to build our real-time recommendation for our Ad Tech platform which includes Sponsored Product and Campaign advertisements. You will be responsible for building and scaling data pipelines for new generations of machine learning products in the new and evolving field of Machine Learning Ops (ML Ops) in close collaboration with our Applied Scientists and Software Engineers.
This position is a unique opportunity to have visible impact, and connect with exceptional talents from many different backgrounds: you will be part of a talented cross-functional team made up of Applied Scientists, Data Engineers and Software Engineers. Together, and with the support of Product Managers and Designers, you create, design and deliver new features to serve our customers and partners needs.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING):

• You play a key role in the design, architecture and development of end to end data engineering solutions with full operational responsibilities on Cloud (Databricks, AWS, Kubernetes) to allow our builders define, execute, and monitor Data Engineering Workflows
• Collaborate with the department’s Applied Scientists to optimise the data pipeline runtime and quality
• Take ownership of the operational excellence of our AI system, looking for improvements in monitoring and scaling data pipelines.
• You enjoy communicating and collaborating with product managers and engineering peers.
• You gather requirements, design batch and real time feature pipelines, and implement them in Apache Flink (Java) and Spark (Python), successfully provisioning production grade features to our central Hopsworks Feature Store.
• You always strive to improve the time to market for the team’s experimentation to production workflow