Senior Data Engineer (all genders) - Tradebyte

About Tradebyte

Tradebyte is an independent company within the Zalando Group that specializes in e-commerce data solutions for fashion and retail brands.

Role & 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.

Responsibilities

• Take end‑to‑end responsibility for our Data Refinery – from ingestion (CDC) to providing business‑ready data products in the Gold layer.
• Design, build, and maintain scalable ELT pipelines using Databricks Delta Live Tables (DLT).
• Liaise with owners of source systems (e.g., TB.One) to define and align Data Contracts.
• Implement and oversee Data Governance and security standards within the Unity Catalog.
• Perform technical analysis and root‑cause analysis to improve data quality and pipeline reliability.
• Build and maintain strong working relationships with development teams and the Zalando Data Foundation.
• Record and share information on current working methods and lessons learned to foster a high‑performance data culture.

Qualifications

• Extensive experience with the Databricks ecosystem (Unity Catalog, Delta Live Tables, Workflows).
• Deep understanding of the Medallion Architecture (Bronze, Silver, Gold) and Delta Lake internals.
• Proficient in Apache Spark (PySpark) and Python for large‑scale data processing.
• Several years of experience building and maintaining scalable streaming and batch pipelines, specifically using CDC (Change Data Capture) from RDBMS such as MySQL/BinLogs.
• Familiarity with Infrastructure as Code (Terraform), Docker, Git (trunk‑based development), and DevOps principles.
• Ability to translate complex business requirements into robust, de‑normalised data models optimized for Lakehouse performance.
• Good understanding of cloud infrastructure (AWS), REST APIs, and secure data exchange.
• Excellent verbal and written communication skills in English and ability to accurately document designs and processes.
• Experience aligning data strategies within a larger group ecosystem such as Zalando.

Benefits

• Employee shares program.
• 40% off fashion and beauty products sold and shipped by Zalando.
• 30% off Lounge by Zalando.
• Discounts from external partners.
• 2 paid volunteering days a year.
• Hybrid working model – work where it works for you within Germany or the UK, with occasional office attendance required.
• 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).
• Family services, including counseling and support.
• Health and wellbeing options (including Wellhub, formerly Gympass).
• Mental health support and coaching available.
• Training offerings and biannual peer‑to‑peer review.