You must have experience with Apache Spark, Databricks, MPP data warehouses (Redshift, Big Query, Snowflake), strong Python skills, AWS/GCP knowledge, and excellent communication in English.

You will build and maintain data infrastructure, collaborate with diverse teams, support system architecture, and enforce data quality standards in ETL processes.

Germany

Berlin

Zalando is a leading European online platform for fashion and lifestyle, offering a wide range of clothing, footwear, accessories, and beauty products from various brands. Their ultimate mission is to provide customers with a seamless and inspiring shopping experience, blending fashion with technology to create innovative solutions. The purpose of Zalando is to revolutionise the fashion industry by offering a diverse and inclusive shopping environment where customers can discover and purchase the latest trends and styles conveniently online. They aim to empower people to express their individuality through fashion while fostering sustainability and ethical practices within the industry.

Retail & Consumer Goods

Zalando

Europe’s leading online platform for fashion and lifestyle.

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  Location
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  Berlin
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  Contract
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  Full time
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  Job Category
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  Software Engineering - Data
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</div> <br>
<div>
 <div>
  <h2 class="jobSectionHeader"><b>THE ROLE &amp; THE TEAM</b></h2>
  <p></p>
  <p>Lounge by Zalando is an online shopping club for fashion and lifestyle products. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. We aim to connect with millions of members across 17 European markets, inviting them to engage in an exciting treasure hunt.</p>
  <p></p>
  <p>We are looking for a Data Engineer to join our team to cover for <b>maternity leave for 1 year with the possibility to extend it</b>.</p>
  <p><br></p>
  <p>As a Data Engineer in the Data Infrastructure and Tracking, you will contribute to Lounge by Zalando's mission of establishing a robust and trustworthy demand data infrastructure, central to our data driven decision making process.</p>
  <p>Your primary focus will be designing, developing, and maintaining high-performance data infrastructure that is not only efficient but also reliable at scale. Through continuous innovation and challenging the status quo, you'll enable our organisation to access valuable data-driven insights.</p>
  <p></p>
  <h2 class="jobSectionHeader"><b> INCLUSIVE BY DESIGN</b></h2>
  <p></p>
  <p>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.</p>
  <p>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.</p>
  <p>do.BETTER - our diversity &amp; inclusion strategy:</p>
  <p>https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy<br> Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups</p>
  <p></p>
  <h2 class="jobSectionHeader"><b><br> WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)</b></h2>
  <p></p>
  <ul>
   <li><p><br> You will support the implementation of a reliable and performant data infrastructure that integrates with internal and 3rd party tools.</p></li>
  </ul>
  <ul>
   <li><p>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.</p></li>
  </ul>
  <ul>
   <li><p>Work with senior data engineers, and peers in central data platform teams to support the development of the system architecture and ensure seamless integration into Zalando's central data platform.</p></li>
   <li><p>Establish and enforce data quality standards throughout the ETL process.</p></li>
  </ul>
  <p></p>
  <p><b><br> WE'D LOVE TO MEET YOU IF...</b><b>.</b></p>
  <ul>
   <li><p>Experience of running data processing pipelines using distributed data processing frameworks like Apache Spark. Databricks experience is a must.</p></li>
   <li><p>Experience in working with MPP data warehouse, e.g. Redshift, Big Query,Snowflake</p></li>
   <li><p>You have solid programming skills in Python</p></li>
   <li><p>Hands-on experience with the AWS,GCP ecosystem and integration with orchestration services (Airflow).</p></li>
   <li><p>You have excellent verbal and written communication skills in English with an ability to articulate complex technical topics and solutions concisely and simply.</p></li>
  </ul>
  <p>If you have what it takes, we encourage you to</p>
 </div>
</div>
<p></p>


 
  Location
 
 
  Berlin
 
 
  Contract
 
 
  Full time
 
 
  Job Category
 
 
  Software Engineering - Data
 
 

 
  THE ROLE & THE TEAM
  
  Lounge by Zalando is an online shopping club for fashion and lifestyle products. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. We aim to connect with millions of members across 17 European markets, inviting them to engage in an exciting treasure hunt.
  
  We are looking for a Data Engineer to join our team to cover for maternity leave for 1 year with the possibility to extend it.
  
  As a Data Engineer in the Data Infrastructure and Tracking, you will contribute to Lounge by Zalando's mission of establishing a robust and trustworthy demand data infrastructure, central to our data driven decision making process.
  Your primary focus will be designing, developing, and maintaining high-performance data infrastructure that is not only efficient but also reliable at scale. Through continuous innovation and challenging the status quo, you'll enable our organisation to access valuable data-driven insights.
  
   INCLUSIVE BY DESIGN
  
  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)
  
  
    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 support the development of the system architecture and ensure seamless integration into Zalando's central data platform.
   Establish and enforce data quality standards throughout the ETL process.
  
  
   WE'D LOVE TO MEET YOU IF....
  
   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 the AWS,GCP ecosystem 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.
  
  If you have what it takes, we encourage you to
 



Data Engineer for Lounge by Zalando (all genders)

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Zalando

Mission & Purpose