THE ROLE & THE TEAM
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, you will work with talented scientists and engineers to build our real-time recommendation for our Sponsored Product and Campaign advertisements.
You will be responsible for the data pipelines that perform our model training and serve our real-time recommendations, you work closely together with Applied Scientists to optimise our models training times and serving latencies;
you connect with our Engineers to ensure all the requirements for our new use cases are captured and collaborate in their implementation in our stacks.
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.
INCLUSIVE BY DESIGN
At Zalando, our vision is to be the starting point for fashion - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs.
We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses.
We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.
WHY YOU SHOULD BE INTERESTED
Design and implement solid data and machine learning pipelines which power our models at Zalando’s scale
Collaborate with the department’s Applied Scientists to optimise the training time and serving latencies of our ML recommendation models.
Take ownership of the operational excellence of our data architecture, looking for improvements in monitoring and our resilience.
Drive the team’s best practices around ETLs, data engineering, data governance and GDPR.
WE'D LOVE TO MEET YOU IF
You like to exchange knowledge and are willing to mentor team members in terms of best practices, code quality and tech frameworks.
You have a degree in Computer Science, or related field of study, or equivalent practical experience.
You have strong programming skills with Java or Scala and Python.
You are experienced in Agile Software Development, CI / CD, monitoring and scalability.
You are experienced with data processing (Spark, Databricks), orchestration (Airflow) and cloud technologies (AWS, Google Cloud or Azure).
We offer peer-to-peer performance reviews twice a year
Learn and develop through our extensive Zalando training platform
Join regular all-hands, team meetings, Q&A-sessions, and quarterly anonymous employee surveys to ask your questions and provide your feedback
Support from an international team of experts; mentoring and professional development opportunities
2 days paid leave per year for volunteering
Minimum of 27 holiday days per calendar year
Online sports courses, wellbeing, and nutrition advice offered by Humanoo personal wellbeing coach app
Mental wellbeing support by our Employee Assistance Program and professional consultants to help you find health resources
Flexible working hours
Relocation assistance available for internationals
Home office equipment available for hybrid working, to support you working from home
Hybrid working model with 60% remote per week
Opportunity to work from abroad for 30 (working) days per calendar year
Access to the employee shares program
40% shopping discount on products shipped and sold by Zalando, and 30% discount on Zalando Lounge
Discounts from a wide range of external partners
Employee parents’ forums and employee resource group
Supported transition into and out of parental leave, with a buddy and re-onboarding plan
3 fully-paid child sick days per year
Free counselling, assistance, and referral service for all matters concerning yourself and your family via the Fürstenberg Institute