Data engineer

JobKuppler; Berlin; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Employee shares program 40% off

30% off Zalando Lounge

Discounts from external partners

2 paid volunteering days

27 days of vacation

Relocation assistance

Family services

Health and wellbeing options

Mental health support

Biannual peer-to-peer review

Job summary

Lounge by Zalando is seeking a Data Engineer to design, build, and maintain large-scale ML pipelines and data infrastructure in a fast-growing setting. You will work with backend engineers, data scientists, and analysts to enable personalized recommendations for customers.

Applicants should have 3+ years in data engineering, strong software engineering discipline, and experience with batch/stream processing, and Python or Java. Relocation and extensive employee perks are available in Berlin.

Qualifications

• Strong software engineering principles applied to data systems.
• Proficient in building robust, scalable data infrastructure with quality code.
• 3+ years in data engineering projects.
• Understanding of distributed data processing mechanisms.
• Experience with batch/stream processing (Spark, Hadoop, Flink, Storm, Beam, Kafka).
• Proficient in Python or Java.
• Bonus: knowledge of DynamoDB, Cassandra, or Redis.

Responsibilities

• Design, build, and optimize large-scale ETL, stream, and batch pipelines.
• Implement and maintain high-throughput data stores for real-time recommendations.
• Improve data governance for data quality and reliability.
• Advance ML infrastructure: training and evaluation frameworks, experimentation tools.
• Collaborate with Product Managers, Data Scientists, Engineers, and Analysts to drive customer impact.
• Help define team objectives and improve self-organization.

Skills

Data engineering

Python

Java

Distributed data processing

Spark

Hadoop

Flink

Kafka

SQL

Distributed databases

DynamoDB

Cassandra

Redis

Job description

Описание:

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.

Задачи:

• 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.

Требования:

• 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.
• Будет плюсом: A strong understanding of distributed databases, especially high-throughput/low-latency data stores (e.g. DynamoDB, Cassandra, or Redis), is highly valued

Условия:

• 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