Senior Data Engineer (all genders)

Disclaimer : candidates may work remotely from anywhere within Germany or the United Kingdom only.

ABOUT TRADEBYTE

At Tradebyte we work with the biggest players in e-commerce - from trendsetting fashion brands to major online retailers. Our goal is to create a workplace where everyone feels valued supported and empowered.

We offer flexible work schedules professional development opportunities and a real commitment to work-life balance. We embrace diverse perspectives and ensure that every voice is heard and respected because youre unique and that matters to us.

As we continue to grow were looking for new colleagues who share our passion. Love what you do - do what you love. Join Tradebyte an independent company within the Zalando Group!

THE ROLE AND THE TEAM

This role is centered on building a Centralized Data Lakehouse from scratch. The teams 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.

WHAT WED LOVE YOU TO DO (AND LOVE DOING)

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. ) 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.

WED LOVE TO MEET YOU IF

You have extensive experience with the Databricks ecosystem (Unity Catalog Delta Live Tables Workflows).

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 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).

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 in aligning data strategies within a larger group ecosystem (like Zalando).

OUR OFFER

Tradebyte provides a range of benefits heres 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 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 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)

Family services including counseling and support

Health and wellbeing options (including Wellhub formerly Gympass)

Mental health support and coaching available

Drive your development with our training offerings and biannual peer-to-peer review

Required Experience :

Senior IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1