Principal Software Engineer (all genders)

Arbeitsagentur

Berlin

Vor Ort

EUR 120.000 - 150.000

Vollzeit

vor 33 Stunden
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Relocation assistance
Employee shares programme
Wellbeing & health resources

Zusammenfassung

Zalando's ZMS is seeking a Principal Data Engineer to guide the data platform's architecture and evolution. You will shape data products, design scalable data systems, and lead cross-functional teams across data & software engineering, product management and business analysts.

You will influence decisions via the Tech Radar and promote best practices in coding and operational excellence. You will work with AWS, Databricks, Airflow, and Kubernetes to build resilient, high-performance data

Qualifikationen

  • 10+ years of in depth experience in developing applications consisting of multiple modules managed by multiple teams.
  • Expertise developing data models and data pipelines for batch and stream processing using AWS services, Databricks, Airflow, and similar technologies.
  • Expertise in the design and development of resilient, scalable distributed systems in cloud infrastructure, with a preference for proficiency in Kubernetes and AWS.
  • Excellent software engineering skills to design and implement effective solutions for data strategies in large-scale production environments (data engineering, data version control).

Aufgaben

  • Design, build, and maintain large-scale data intensive systems and services for multiple stakeholders.
  • Lead a data engineering team and collaborate with software engineers, product managers, and analysts.
  • Mentor junior to senior engineers and drive engineering standards within the organization.
  • Partner with leaders across data, product, and business to deliver state-of-the-art data solutions.

Kenntnisse

Data engineering
Cloud architecture
Leadership
Mentoring
Communication

Tools

AWS
Databricks
Airflow
Kubernetes

Jobbeschreibung

THE ROLE & THE TEAM

As a Principal Data Engineer in ZMS, your role involves guiding the direction and architecting and modelling the data intensive systems and services, serving high volume data to Partners, engineering teams and internal users. We are looking for a Principal Data Engineer with hands-on experience in building data pipelines and systems, focusing on efficiency, reusability and performance optimisation. We are looking for an experienced data leader to cooperate closely with data and software engineers, product managers and data analysts under the ZMS organisation, closely collaborating with Data teams across Zalando.

ZMS is the technology organisation within Zalando responsible for sourcing fashion products and consumer goods into Zalando. Through our platform and tools, we provide a wide range of products to customers all over Europe. The organisation is composed of more than 300 talented individuals who are dedicated to creating the best platform and inspiring opportunities for multi million euro fashion brands and physical retail stores, connecting them with consumers across multiple European markets.

As a Principal Data Engineer within ZMS, you will get the opportunity to lead a new approach for building data products and the underlying data platform from the early stages together with your team. You will work in a welcoming and inclusive organisation of data engineers, software engineers and business analysts. You will communicate frequently with your team’s multiple and various stakeholders to understand and react to their needs in order to raise the data capabilities of all of ZMS.

WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)
  • Design, build, and maintain large-scale data intensive systems and services to be served to multiple stakeholders in various ways.
  • 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 data and software engineering leaders, product managers, designers, Partners, third-party providers 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…
  • 10+ years of in depth experience in developing applications consisting of multiple modules managed by multiple teams.
  • Expertise developing data models and data pipelines for batch and stream processing using AWS services, Databricks, Airflow, and similar technologies. Databricks experience and solid programming skills are a must.
  • Expertise in the design and development of resilient, scalable distributed systems in cloud infrastructure, with a preference for proficiency in Kubernetes and AWS.
  • 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.
  • 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 data engineers.
  • A strong advocate for operational excellence and adherence to coding best practices, including clean code, readability, combined with strong business acumen.
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.
  • 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
  • 2 paid volunteering days a year
  • Employee shares programme
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counselling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Drive your development through our training platform and biannual peer-to-peer review
INCLUSIVE BY DESIGN

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!

At Zalando, our vision is to be the leading European technology platform for fashion and lifestyle - one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.

We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.

Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion

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