Mid/Senior Data Engineer - Lounge by Zalando (all genders)

Zalando GmbH; Berlin; Hybrid; EUR 70.000 - 100.000; Vollzeit

Benefits dieser Stelle

Employee shares program

27 days vacation

Relocation assistance

Health and wellbeing options

Zusammenfassung

Lounge by Zalando, a fast-growing Zalando unit, seeks a data engineer to design, build, and maintain large-scale ML pipelines for real-time recommendations. You will work with backend engineers and data scientists to enable scalable data products with measurable business impact.

Join a collaborative team shaping the ML lifecycle, from preprocessing to model deployment, and contribute to a high-velocity data platform powering fashion recommendations across Europe.

Qualifikationen

• 3+ years of experience in data engineering projects.
• Experience with large-scale batch and/or stream processing.
• Proficient in Python or Java.
• Strong understanding of distributed data stores (low-latency).

Aufgaben

• Design, build, and optimize large-scale ETL, stream, and batch pipelines.
• Maintain high-throughput data stores for real-time recommendations.
• Improve data governance for quality and reliability.
• Advance ML infrastructure for training and evaluation.
• Collaborate with product, data scientists, engineers, and analysts.

Kenntnisse

ETL pipelines

Stream processing

Batch processing

Data governance

ML infrastructure

Python or Java

Distributed databases

Spark

Flink

Kafka

Tools

Spark

Hadoop

Flink

Kafka

Apache Beam

Redis

DynamoDB

Cassandra

Jobbeschreibung

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.

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.
• 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 expect.

• 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
• 27 days of vacation a year to start
• 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
• Drive your development through our training platform and biannual peer-to-peer review

Lounge by Zalando is an online outlet for fashion and lifestyle products in +20 European countries. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. However, Lounge by Zalando is so much more than discounts. Our strength lies in our focus on fashion and lifestyle brands: from sought-after labels to niche brands, from famous international names to trendy luxury brands, we make sure to meet the fashion taste of all our customers, who are always on the hunt for the best products at the best prices. Working with our brand partners, we're pioneering innovative supply-chain and production processes and offer them an impactful and smart solution, creating a new way to shop for fashion - and a new way to sell it.

Software Engineering

Our Software Engineering teams deploy software extensively, managing a broad set of applications and conducting thousands of deployments per week. The Software Engineering team enables Zalando as Europe’s number one multi-brand, digital platform for fashion, beauty, and lifestyle for our partners and customers. As a Zalando Software Engineer, you’ll be part of a community of thousands of colleagues across Europe.

It’s the perfect time to join Zalando on our journey to build the leading pan-European ecosystem for fashion and lifestyle e-commerce. Help us offer an inspiring and quality multi-brand shopping experience for fashion and lifestyle products to about 50 million active customers in 25 markets. Or be part of our logistic infrastructure, software or service capabilities to help brands and retailers run and scale their entire e-commerce business, on or off Zalando. Join our Zalando ecosystem, to enable positive change for the fashion and lifestyle industry.