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Senior Data Engineer

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Job

  • Level
    Senior
  • Job Feld
    Software, Data
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Ansbach
  • Arbeitsmodell
    Hybrid, Onsite
  • Job Zusammenfassung

    In dieser Rolle entwickelst du ein zentrales Data Lakehouse und übernimmst die Verantwortung für die Datenaufbereitung von der Ingestion bis zur Bereitstellung qualitativ hochwertiger Datensätze im Gold-Layer.

    Job Technologien

    Deine Rolle im Team

    • This role is centered on building a Centralized Data Lakehouse from scratch.
    • The team's mission is to elevate 'Data as Exhaust' into 'Data as a 1st Class Citizen,' focusing on reliable and repeatable insights through high data quality, robust Medallion architectures, and sustainable designs.
    • Key factors for the 2026 strategy include a 'Product Mindset' towards data and intense collaboration and knowledge-sharing with the Zalando Data Foundation.
    • You will take end-to-end responsibility for our Data Refinery - from ingestion (CDC) to providing business-ready data products in the Gold layer.
    • You will design, build, and maintain scalable ELT pipelines using Databricks Delta Live Tables (DLT).
    • You will liaise with the owners of source systems (e.g., TB.One) to define and align Data Contracts.
    • You will implement and oversee Data Governance and security standards within the Unity Catalog.
    • You will perform technical analysis and root cause analysis to improve data quality and pipeline reliability.
    • You will build and maintain strong working relationships with the development teams and the Zalando Data Foundation.
    • You will record and share information on current working methods and lessons learned to foster a high-performance data culture.

    Unsere Erwartungen an dich

    Qualifikationen

    • You have a deep understanding of the Medallion Architecture (Bronze, Silver, Gold) and Delta Lake internals.
    • You are proficient in Apache Spark (PySpark) and Python for large-scale data processing.
    • You are familiar with Infrastructure as Code (Terraform), Docker, Git (trunk-based development), and DevOps principles.
    • You bring the ability to translate complex business requirements into robust, de-normalized data models optimized for Lakehouse performance.
    • You have a good understanding of Cloud Infrastructure (AWS), REST APIs, and secure data exchange.
    • You possess excellent verbal and written communication skills in English and the ability to accurately document designs and processes.

    Erfahrung

    • You have extensive experience with the Databricks ecosystem (Unity Catalog, Delta Live Tables, Workflows).
    • You have several years of experience in building and maintaining scalable Streaming & Batch pipelines, specifically using CDC (Change Data Capture) from RDBMS (e.g., MySQL/BinLogs).
    • Experience in aligning data strategies within a larger group ecosystem (like Zalando).

    Unser Angebot

    • Tradebyte 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.
    • Hybrid working model - work where it works for you within Germany or the UK, with occasional office attendance required for moments that matter.
    • Work from abroad for up to 30 working days a year.
    • 27 days of vacation a year to start for full-time employees.
    • Relocation assistance available (subject to prior agreement).

    Benefits

    Work-Life-Integration

    Essen & Trinken

    Gesundheit, Fitness & Fun

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort Ansbach

      91522 Bayern

      Deutschland

    Das ist dein Arbeitgeber

    Zalando SE

    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

    (1 Bewertung)
    3.4
    • Culture

      3.5
    • Workingconditions

      4.4
    • Engineering

      3.1
    • Career Growth

      2.6
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    Logo Zalando SE

    Senior Data Engineer

    Ort
    Ansbach
    Arbeitsmodell
    Hybrid, Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)
    Nur Englisch
    Nur Englisch erforderlich

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