Senior Data Engineer - Curated Sales Data (All genders)

Posted 2 Days Ago
Be an Early Applicant
Berlin
Senior level
eCommerce • Retail
The Role
As a Senior Data Engineer at Zalando, you will design, develop, and operate data pipelines for sales data, ensuring high-quality data for analytics and machine learning. You will collaborate with various teams to improve the data architecture and support other engineers while working within a vast community of data engineers.
Summary Generated by Built In

As a Senior Data Engineer in Zalando's Curated Sales Data team you design, develop, own and operate data pipelines that provides the single source of truth for information regarding Zalando's fundamental business process - Sales Orders and their lifecycle (Sales, Cancellation, Return, Refund) including the Key Performance Indicators for Zalando (Revenue, Profitability). Thousands of users and applications across the company rely on this data for business analytics and machine learning. Constantly challenging the status quo, you and your team deliver high-performance and scalable data processing solutions that are efficient and reliable at Zalando scale. 

Most importantly, we value diverse teams, and are looking for smart, skilled team players who love to solve challenging problems for Zalando.

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

  • Designing, developing, monitoring, and operating data pipelines processing hundreds of millions of records to provide high-quality data products for analytical and machine learning use-cases. 

  • Leveraging and improving a cloud-based (AWS) tech stack that includes Databricks, Kubernetes, Spark, Python, and Scala.

  • Consulting with principal engineers, analysts and product managers to build and continuously improve "Single Source of Truth" data products that create value for their users.

  • Be a sparring partner to other team members and provide support and guidance to other engineers to help develop their technical capabilities.

  • You will be part of a community of 150+ Data Engineers across the company that is constantly improving the data landscape at Zalando.

WE'D LOVE TO MEET YOU IF

  • You have a rich experience in all the steps of the data engineering process, including requirement gathering, designing, testing, continuous integration/continuous delivery, automated deployment and monitoring.

  • You have proficiency in leading decision making and driving simplification of a complex architecture and code environment continuously throughout the lifespan of our data products.

  • You have a strong set of modern (data) programming skills in Scala and proficient knowledge in working with Apache Spark on Databricks, Python is a plus

  • You have proficiency in Data Modelling for Data Warehousing concepts with the modern data stack

  • You have strong hands-on experience in cloud technologies (AWS preferred), container/orchestration tools (Kubernetes, Docker).

  • You have hands on experience with streaming applications in a data context

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
  • 2 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 (for Zalando SE)
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available
  • Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us

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 

Top Skills

Python
Scala
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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