Senior Data Engineer - Lounge by Zalando (all genders)

Ort Germany - Berlin Vertrag Full time Job-Kategorie Software Engineering - Backend

THE ROLE & THE TEAM

Lounge by Zalando is a rapidly growing part of Zalando, now turning over billions of euros each year. That said, there is so much untapped potential with respect to personalization and recommendation.

You will be a data engineer, working alongside backend engineers and data scientists to build large-scale recommender systems. As the largest online fashion retailer in Europe, we require a skilled engineer who can design, build, and maintain Machine Learning pipelines at a global scale.

You will play a key role across the entire ML lifecycle, from designing and implementing robust batch and streaming preprocessing pipelines to enabling efficient model training and distribution for our real-time recommender systems. This is a very good opportunity to build a data product that has a measurable impact on the business outcomes and the user experience. You will have significant input into architectural decisions, and help to implement state of the art ML recommender algorithms. There are very few roles that offer this unique synthesis of scale and ML complexity.

Our team thrives on a multidisciplinary approach, and while this role is primarily focused on data engineering development, we highly value individuals who are adaptable and willing to contribute to other areas as needed, fostering a truly collaborative environment.

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)

• Design, build, and optimize large-scale ETL, stream, and batch processing pipelines.
• Implement and maintain high-throughput/low-latency data stores (e.g., for real-time recommendations).
• Implement and improve data governance mechanisms to ensure data quality and reliability.
• Accelerate the pace of innovation by building and improving ML infrastructure, such as training and evaluation frameworks, experimentation frameworks.
• Collaborate with brilliant Product Managers, Data Scientists, Engineers, and Analysts across Zalando to create positive customer impact together.
• Help define our team's objectives. Continuously improve the self-organization of the team.

WE’D LOVE TO MEET YOU IF

• Strong experience applying software engineering principles to data management systems. You should be proficient in building robust, scalable data infrastructure using high-quality code — not just SQL.
• 3+ years of experience in data engineering projects.
• Good understanding of distributed data processing mechanisms. You should be able to diagnose and optimize a slow-running data pipeline.
• Experience with large-scale batch processing and/or stream processing (e.g. Spark, Hadoop, Flink, Storm, Apache Beam, Kafka.)
• Proficient in either Python or Java.
• A strong understanding of distributed databases, especially high-throughput/low-latency data stores (e.g. DynamoDB, Cassandra, or Redis), is highly valued.

OUR OFFER

Zalando provides a range of benefits, here’s an overview of what you can e