Backend/Data Engineering Manager - Product Data Quality (HYBRID)

ABOUT ZALANDO:

Zalando is Europe’s leading online platform for fashion and lifestyle, connecting customers, brands and partners across several markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to millions of customers through diverse skill-sets, interests and languages our teams choose to use.

THE ROLE & THE TEAM:

The Product Data Quality team is looking for a talented Backend/Data Engineering Manager who has a passion for building applications at the intersection of data science and engineering. Our team consists of a great mix of both Data and Software Engineers, who work collaboratively with Product Managers and Applied Scientists, and are tasked with understanding, enriching and improving the product information (data and media content) for Zalando’s assortment of millions of live products. To achieve these aims we use a combination of Machine Learning, Rules Engines, Human Annotation UIs, RESTful APIs, Data Dashboards and Data Pipelines (using both batch and streaming architectures). 

As an Engineering Manager on the Product Data Quality team you will work with your engineering team, and working closely with product and applied science teams, to develop across the entire stack to build, serve and monitor cloud-based data processing architectures that intelligently gathers ML insights from multiple independent data sources and combine them to identify and correct quality issues in our product information in a scalable and maintainable way. We work with a leading edge technology stack composed of Python, Databricks, Kotlin, Kubernetes, RESTful APIs, Elastic Search, PostgreSQL and other AWS services amongst others - check our Tech Blog for more information on the technologies we use.

Teams at our Dublin Tech Hub work on many of the cornerstones of our Fashion Store. Through full stack engineering and research, we turn visionary ideas into new emerging businesses with real potential. By tackling diverse challenges for the fashion industry, we drive the personal digital experience and underlying knowledge models to create the most inspirational fashion experience for our customers.

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

• You support, manage, inspire and grow a diverse team of 6 data and software engineers while ensuring smooth delivery and continuous improvements to business critical systems.

• You ensure operational excellence of the services that are at the core of Zalando's vision of having industry leading product information available so that our customers have all the information required to make clear decisions and purchase with confidence.

• You manage dependencies, work closely with the product and applied science counterparts on solution planning, design and implementation 

• You have excellent experience in supporting architectural and design decisions in the team (such as  data pipelines and REST services), built on your strong technical knowledge and experience in these areas 

• You contribute to the overall department priorities, spearhead the documentation and learnings from incidents

• You ensure system-reliability engineering and technical compliance

• You foster an inclusive & diverse team environment

WE'D LOVE TO MEET YOU IF…

• You are a self-motivated leader who has a very good understanding of modern development practices.

• You have been supporting a team of engineers in the past and have a good record of supporting and developing your team

• You have hands-on experience in managing teams across the engineering stacks required, in particular a track record in delivering and maintaining highly available production level API systems / data driven architectures / data engineering systems to use to gain insights from significant data loads.

• You are comfortable learning new technologies and systems, and helping the team to identify the right tool for the job.

• You are adept at collaborating with a product team, transforming customer issues into actionable solutions and working with them to navigate uncertainty to achieve a positive impact for customers

• You can thrive in a collaborative environment involvi