Senior Backend/Data Engineer - Inspiration and Entertainment

Posted 17 Days Ago
Be an Early Applicant
Berlin
Senior level
eCommerce • Retail
The Role
As a Senior ML Engineer, you will develop and maintain scalable machine learning products, operate backend microservices on Kubernetes and AWS, and improve data pipelines while collaborating with data scientists to productionize ML solutions. You will also participate in A/B testing, generate insights from customer data, and contribute to the engineering culture.
Summary Generated by Built In

THE ROLE & THE TEAM

Our Entertainment and Inspiration Team will set out to solve major customer challenges around inspiration & entertainment in fashion & lifestyle e-commerce as well as helping our customers navigate the challenge of overwhelming choice in our ecosystem!

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.

do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/diversity-inclusion

Our employee resource groups: 

https://corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups

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

  • Consistently ship working, testable, maintainable, readable code/data to production in small and safe iterations. You build solutions that are performant, scalable and fulfil the set SLOs of the product

  • Own and operate backend microservices on top of Kubernetes and AWS 

  • Build and improve reliable data-pipelines, enable data analysis and monitoring, and build reliable ML Products together with Applied Scientists. Be a strong owner for microservices, production systems, data and dashboards. 

  • Participate in A/B test design/alignment, planning.

  • Prototype, productionize and run a large scale real-time machine learning system

  • Generate actionable insights from the data of 51+M customers

  • Make a positive impact on our engineering culture, encouraging knowledge sharing and drive technical discussions within the team and beyond

WE’D LOVE TO MEET YOU IF

  • Experience working with JVM Based languages, such as Java, Scala or Kotlin

  • Experience in specifying, planning, developing, maintaining and operating microservices using REST API (OpenAPI), Cloud Platforms (AWS, Kubernetes), PostgreSQL. 

  • Strong DevOps skills, from developing AWS cloud infrastructure and CI/CD pipelines to implementing production quality application monitoring 

  • Good skills in Python & SQL, Airflow and Spark, hands-on experience with Databricks, working with cloud services (e.g. S3, sagemaker, dynamodb etc.). Curious about learning new technologies. 

  • Team player, can raise the engineering bar (live high challenge and high support), keep it simple sherlock, strong sense of ownership and dedication, proactive, disagree and commit

  • Experience working with data scientists to know the process of experimentation to productionisation; analytical mindset and interest in scientific side of the products

  • Bonus points: Scala knowledge/experience, especially with libraries like Cats Effect & ZIO

OUR OFFER

  • Culture of trust, empowerment and constructive feedback with internal guilds and Employee Resource Groups, knowledge sharing through tech talks and open source commitment, internal tech academy and blogs, product demos, meetups, parties and events.

  • Competitive salary and employee shares program.

  • 40% Zalando discount of products sold and shipped by Zalando, 30% off Zalando Lounge and additional discounts from external partners

  • Extensive onboarding, mentoring and training opportunities and an international team of experts to work with

  • Relocation assistance for internationals

Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us.

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!

Top Skills

Python
Scala
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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