Senior Data Engineer - Marketing Platform (all genders)

Das ist der Job

Operational Excellence: Experience managing production data systems, including handling SLAs, incident response, and on-call rotations.

Darum lohnt es sich

THE ROLE & THE TEAM ZMS is Zalando's advertising and marketing platform for merchants and brands. You'll build and maintain data solutions using our modern tech stack. Your work will directly impact the quality of decisions made by our partners and internal teams.

Take end-to-end responsibility for projects in a cross-functional team and iterate quickly during the product development cycle. Mentorship & Collaboration: A passion for knowledge sharing and a desire to mentor team members on best practices, code quality and engineering excellence.

OUR 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 flexible hours and up to 60% remote per week, actual practice is up to each team to best support their collaboration 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 counselling and support Health and wellbeing options (including Gympass) Mental health support and coaching available #J-18808-Ljbffr Join us to help drive the development of a platform that strives to inspire, engage, and inform Zalando shoppers through highly relevant advertising experiences, seamlessly supporting our customers' shopping journeys by empowering partners to promote their brands, stories, and products.

You will work on the service that powers campaign creation decisions for thousands of merchants across multiple markets, that is a critical system that directly influences how marketing campaigns are built and executed. The current solution relies on Databricks for data processing, Delta Lake, and Postgres, with Airflow as an orchestrator.

INCLUSIVE BY DESIGN At Zalando, our vision is to be the starting point for fashion - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs.

We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.

WHAT WE'D LOVE YOU TO DO (AND LOVE DOING) Design and implement the systems that power campaign decisions for thousands of merchants. As well as, ability to communicate and collaborate effectively with business stakeholders, product managers, and engineering peers. Lead data engineering competency development in the Marketing platform.

Share your knowledge with your colleagues and help them grow their technical skills. Evaluate and implement leading-edge technologies and optimise platform performance to ensure our platform remains ahead of the curve. WE'D LOVE TO MEET YOU IF Must have Experience: 5-7 years of professional experience in data engineering.

Distributed Systems: Deep knowledge of distributed data processing (Databricks/Spark preferred), performance tuning, and building observability and health checks for data pipelines. Storage Performance: Practical experience optimizing and tuning databases or storage engines. Programming: Strong coding skills in any general-purpose language (e.g.

Python / C / C++ / Java / Scala / GoLang / Rust) and SQL skills focused on data transformation performance. Data Architecture: Proven track record of designing, building, maintaining and evolving data models and data processing systems. Nice-to-have Cloud: Experience with cloud delivery models and Kubernetes (K8s).

Matching Data Stack: Hands-on experience with tools that we use like dbt, Databricks, Postgres, Airflow, Dash0. API Design: Experience or knowledge in designing and developing APIs. Streaming & Messaging: Experience working with real-time streaming pipelines or messaging queue (micro-services).