THE ROLE & THE TEAM
Lounge by Zalando is an online shopping club for fashion and lifestyle products. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. We aim to connect with millions of members across 17 European markets, inviting them to engage in an exciting treasure hunt.
We are looking for a Data Engineer to join our team to cover for maternity leave for 1 year with the possibility to extend it.
As a Data Engineer in the Data Infrastructure and Tracking, you will contribute to Lounge by Zalando's mission of establishing a robust and trustworthy demand data infrastructure, central to our data driven decision making process.
Your primary focus will be designing, developing, and maintaining high-performance data infrastructure that is not only efficient but also reliable at scale. Through continuous innovation and challenging the status quo, you'll enable our organisation to access valuable data-driven insights.
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
WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)
You will support the implementation of a reliable and performant data infrastructure that integrates with internal and 3rd party tools.
Collaborate with diverse teams of talented data analysts, applied scientists, business analysts, product managers, and software engineers to implement and maintain high-performance data-processing and data integration systems on top of lake house architecture.
Work with senior data engineers, and peers in central data platform teams to support the development of the system architecture and ensure seamless integration into Zalando's central data platform.
Establish and enforce data quality standards throughout the ETL process.
WE'D LOVE TO MEET YOU IF....
Experience of running data processing pipelines using distributed data processing frameworks like Apache Spark. Databricks experience is a must.
Experience in working with MPP data warehouse, e.g. Redshift, Big Query,Snowflake
You have solid programming skills in Python
Hands-on experience with the AWS,GCP ecosystem and integration with orchestration services (Airflow).
You have excellent verbal and written communication skills in English with an ability to articulate complex technical topics and solutions concisely and simply.
If you have what it takes, we encourage you to apply even if you don't meet every requirement. You may be the right candidate for this or other roles!
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
Two 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 to start
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching are available
Drive your development through our training platform and biannual peer-to-peer review
Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us
