Senior Data Engineer - Emerging Propositions (All Genders)

Posted 9 Days Ago
Be an Early Applicant
Berlin
5-7 Years Experience
eCommerce • Retail
The Role
Design, develop, and operate data infrastructure and products for Beauty, Designer, and Pre-owned categories. Collaborate with cross-functional teams to create customer impact. Enhance data landscape and support colleagues through knowledge sharing.
Summary Generated by Built In

The Emerging Propositions Data Engineering team is responsible for enabling and evolving product offerings in Beauty, Designer and Pre-owned categories. We solve customer problems related to unique customer experiences and assortment properties like high number of makeup shades, distinct presentation of luxury brands or dedicated data models for pre-owned articles.

As a Senior Data Engineer you will design, develop and operate the data infrastructure, datasets and data products. The technical scope covers large-scale batch processing, data warehouses, ETL, data analysis and data observability.

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)

  • Be in the driver's seat. You enjoy being proactive, tackling complex business problems and taking the initiative to independently explore and understand them

  • Collaborate with Product Managers, Data Scientists, Engineers, Analysts, and stakeholders across Emerging Propositions and Zalando to create a positive impact on customers

  • Play a key role in the design, planning, development of datasets and data products 

  • Make informed technology and design decisions, taking ownership of these choices, and clearly communicating the architectural trade-offs involved

  • Adopt an operational excellence mindset, participating in service operational duties, including data observability and maintaining a healthy infrastructure.

  • Support your colleagues through knowledge sharing, pairing and hands-on training. Actively contribute to hiring and developing talent to strengthen the team

  • Be part of a community of 150+ Data Engineers across the company, continually enhancing the data landscape at Zalando

WE’D LOVE TO MEET YOU IF

  • You have over 5 years of experience in large-scale data engineering using open source technologies

  • You demonstrate strong communication and stakeholder management skills

  • You love to learn and you use all opportunities to expand your technical expertise

  • You have a good understanding of modern data engineering practices, including data modeling, data architecture, pipeline as a code, data observability 

  • You have a solid experience with large-scale batch processing technologies (Airflow, Databricks, Presto/Trino, Spark, AWS data services)

  • You are proficient in SQL, including query optimisation and performance tuning

  • You bring experience in designing, implementing, and deploying data processing pipelines in a production environment using Python. Experience in other programming languages like Scala or Java is a plus 

 

If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just 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
  • 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 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 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
SQL
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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