Senior Backend/Data Engineer - Inspiration and Entertainment

Zalando; Berlin; Vor Ort; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

An established industry player is seeking a talented engineer to join their Entertainment and Inspiration Team. This role focuses on solving customer challenges in fashion and lifestyle e-commerce by building scalable and maintainable backend solutions. You'll work with cutting-edge technologies, including AWS and Kubernetes, to enhance data analysis and machine learning capabilities. The company fosters a culture of trust and empowerment, offering competitive salaries, employee shares, and a generous discount on products. If you're passionate about technology and eager to make an impact, this opportunity is perfect for you!

Leistungen

Employee shares program

40% discount on products

Relocation assistance

Extensive onboarding and training

Internal tech academy

Knowledge sharing through tech talks

Employee Resource Groups

Meetups and events

Qualifikationen

• Experience with JVM-based languages and microservices development.
• Strong DevOps skills, including AWS infrastructure and CI/CD.

Aufgaben

• Develop and maintain backend microservices on AWS and Kubernetes.
• Build reliable data pipelines and support machine learning products.

Kenntnisse

Java

Scala

Kotlin

REST API

AWS

Kubernetes

PostgreSQL

Python

SQL

Airflow

Spark

Databricks

Jobbeschreibung

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.

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.

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!