Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du robuste, skalierbare ETL- und Verarbeitungs-Pipelines, implementierst ML-Infrastrukturen und arbeitest eng mit interdisziplinären Teams zusammen, um datengetriebene Personalisierungslösungen zu schaffen.
Job Technologien
Deine Rolle im 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- Good understanding of distributed data processing mechanisms. You should be able to diagnose and optimize a slow-running data pipeline.
- 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.
Erfahrung
- 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.
- Experience with large-scale batch processing and/or stream processing (e.g. Spark, Hadoop, Flink, Storm, Apache Beam, Kafka.)
Unser Angebot
- 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
- 2 paid volunteering days a year
- Hybrid working model with up to 60% remote per week
- 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 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
Benefits
Work-Life-Integration
Essen & Trinken
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Zalando SE
Zalando is die europäische Online-Plattform für Mode, die Kunden, Marken und Partner in 17 Märkten verbindet.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Handel
Dev Reviews
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Gesamt
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4.4Culture
3.5Engineering
3.1Career Growth
2.6
Senior Data Engineer
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
