Principal Data Engineer - Inspiration and Entertainment

Berlin

Zalando

Shop the latest fashion & shoes online | Free delivery* & returns on most of the orders | Over 1,900 Brands – new products every day!

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THE ROLE & THE TEAM

As a Principal Data Engineer in the Inspiration and Entertainment area, your role involves architecting and developing the data intensive systems and services that will power the end-to-end discovery and engagement focused journey, making a direct impact on over 50 million Zalando customers across 25 countries and counting. 

We are looking for a Principal Data Engineer with hands-on experience in building data pipelines and systems for ML systems to be part of the Inspiration and Entertainment  mission to define, drive and develop capabilities for discovering engaging content. We are looking for an experienced data leader to collaborate closely with engineers, applied scientists, and the wider Search, Browse, Personalization & Recommendations organization.

INCLUSIVE BY DESIGN

Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 25 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 50 million active customers through diverse skill-sets, interests and languages our teams choose to use.

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) 

  • Design, build, and maintain large-scale data intensive systems and services for generating and surfacing personalized content to customers that is tailored to their interest.

  • Ensure the implementation of a state-of-the-art software development methodology and cultivate best practices in software development. Operate a complex and advanced system landscape that meets the highest standards in terms of reliability, performance, and latency.

  • Developing new approaches to data storage, evaluation, ongoing maintenance, and best practices that will be useful across the entire company, including with structured and unstructured data.

  • Mentor junior to senior engineers and actively collaborate with other teams. Share knowledge and expertise within our talented engineering and science community. 

  • Work closely with applied science and engineering leaders, product managers, designers and other business stakeholders to bring our state-of-the-art solutions to the customers and to discover and identify new opportunities.

  • As part of our Principal Engineering Community, you collaborate with other senior individual contributors to set engineering standards, guide decision-making for the technology landscape at Zalando via our Tech Radar.

WE’D LOVE TO MEET YOU IF YOU HAVE

  • Expertise in the design and development of resilient, scalable distributed systems in cloud infrastructure, with a preference for proficiency in Kubernetes and AWS.

  • In depth experience in developing data pipelines for batch and stream processing using AWS services, Databricks, Airflow, and similar technologies.

  • Excellent software engineering skills to design and implement effective solutions for data strategies in large-scale production environments (data engineering, data version control). You excel at and are enthusiastic about both delivering projects hands-on and leading development efforts.

  • Experience in making applications resilient and reliable through open tracing, monitoring, and load testing, with a deep understanding of monitoring and maintaining data pipelines.

  • Strong communication skills and experience leading organization-wide collaborations, with the ability and eagerness to understand the business context in which the team operates and the customer problems being solved.

  • Experience coaching and mentoring senior engineers, and collaborating closely with applied scientists, senior machine learning engineers, and data scientists.

  • A strong advocate for agile processes, operational excellence, and adherence to coding best practices, including clean code, readability.

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Airflow AWS Databricks Data pipelines Distributed Systems Engineering Excel Kubernetes Machine Learning Pipelines Radar Research Testing Unstructured data

Perks/benefits: Career development Equity / stock options Fitness / gym Health care Relocation support

Region: Europe
Country: Germany

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