Zalando

Senior Data Engineer - Partner Tech at Zalando

82k - 100k EUR and stock option

5+ years of experience

🇬🇧 Job is in English
🇩🇪 German is not required
Berlin, DE
Hybrid
Visa sponsorship
Relocation support

Job Description

As a Senior Data Engineer within Partner Tech, you will get the opportunity to build a new data platform from the early stages together with your team. You will work in a welcoming and inclusive team of data engineers and software engineers. You will be responsible for the collection, transformation, and visualisation of data, consumed by Zalando Partners and internal users. You will communicate frequently with your team’s stakeholders to understand and react to their needs in order to raise the data capabilities of all of Partner Tech.

What you'll do

  • Be in the driver's seat. You enjoy being proactive, addressing intricate business problems and taking the initiative to independently explore and understand them.
  • Proactively look for ways to enhance existing tooling and processes.
  • You will support the implementation of a reliable and performant data infrastructure that integrates with internal and 3rd party tools.
  • Collaborate with diverse teams of talented data analysts, applied scientists, business analysts, product managers, and software engineers to implement and maintain high-performance data-processing and data integration systems on top of lake house architecture.
  • Work with senior data engineers, and peers in central data platform teams to develop the system architecture and ensure seamless integration into Zalando's central data platform.
  • Establish and enforce data quality standards throughout the ETL process.
  • Set up mechanisms  to proactively identify and address potential issues before they impact data integrity.

What we expect from you

  • 5 + years proficiency in engineering best practices, designing, implementing scalable data pipelines from data lake  
  • Experience of running data processing pipelines using distributed data processing frameworks like Apache Spark. Databricks experience is a must.
  • Experience in working with MPP data warehouse, e.g. Redshift, Big Query, Snowflake
  • You have solid programming skills in Python
  • Hands-on experience with a cloud ecosystem (AWS, GCP) and integration with orchestration services (Airflow).
  • You have excellent verbal and written communication skills in English with an ability to articulate complex technical topics and solutions concisely and simply.
  • Nice to have: Experience to technically guide and lead data engineers and analysts

What we 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
  • Two paid volunteering days a year
  • Hybrid working model with 60% 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 counselling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching are available
  • Drive your development through our training platform and biannual peer-to-peer review

Technological stack

Python
Airflow
Spark
Apply now

About Zalando

Industry
Online fashion retail
Employees
1000+

Zalando is a European online fashion platform with a vast range of fashion products for men, women, and children, serving millions of customers across 15 countries with over 1,500 brands and 150,000 product choices. It has rapidly become Europe's top online fashion retailer by continuously improving its processes and leveraging e-commerce expertise, aiming to deliver the world's best online fashion experience. Zalando SE in Berlin, the company's hub, focuses on core product development, international operations, and business growth, spanning management, marketing, administration, and technology functions.