Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Ansbach
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop a centralized Data Lakehouse and take responsibility for data preparation from ingestion to providing high-quality data sets in the Gold layer.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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).
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What we offer
- Tradebyte offers a range of benefits; here is 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).
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Benefits
Work-Life-Integration
Food & Drink
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Zalando SE
Zalando is the leading online fashion platform in Europe, connecting customers, brands, and partners in 17 markets. We offer the latest styles and trends from the best fashion brands around the world, all in one place. With Zalando, you can find the perfect outfit for any occasion, whether you're looking for casual wear, formal wear, or something in between. We also offer a wide range of sizes and styles to suit every customer's needs. Shop with us today and see why we're the leading fashion destination in Europe.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade
Dev Reviews
by devworkplaces.com
Total
(1 Review)Culture
3.5Workingconditions
4.4Engineering
3.1Career Growth
2.6
Senior Data Engineer
- Location
- Ansbach
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
