Data Engineer for Lounge by Zalando - Maternity Cover (all genders)

Posted 2 Days Ago
Be an Early Applicant
Berlin
Mid level
eCommerce • Retail
The Role
As a Data Engineer, you will design, develop, and maintain a high-performance data infrastructure at Lounge by Zalando. Collaborating with diverse teams, you will implement data processing and integration systems, while ensuring data quality standards are upheld through the ETL process.
Summary Generated by Built In

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.

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 

Top Skills

Python
The Company
HQ: Berlin
10,000 Employees
On-site Workplace
Year Founded: 2008

What We Do

Welcome to Zalando. Here’s some key info about us:

Our position and vision:
- We’re Europe’s leading online platform for fashion and lifestyle
- Founded in Berlin in 2008, we bring head-to-toe fashion to more than 50 million active customers in 25 markets; offering clothes, footwear, accessories, and beauty
- Our vision is to become The Starting Point For Fashion.

Our offering:
- Our assortment of international brands ranges from world-famous names to local labels
- Our platform is a one-stop fashion destination for inspiration, innovation, and interaction
- As Europe’s most fashionable tech company, we work hard to find digital solutions for every aspect of the fashion journey: for our customers, partners, and friends of our brand.
- Our logistics network with 12 centrally located fulfillment centers allows us to efficiently serve our customers throughout Europe, supported by warehouses in Italy, France, Poland, and Sweden with a focus on local customer needs.

Our beliefs:
- Our ambition is to combine our passion for self-expression through fashion with our unwavering commitments to sustainability and D&I
- We believe that our integration of fashion, operations, and online technology gives us the capability to deliver a compelling value proposition to both our customers and fashion brand partners.

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