Senior Data Engineer-Product Data Quality

Zalando
Anywhere
Full timeFunction: Quality & Regulatory (Non-Software)Skills: ["Stakeholder management","Communication","Collaboration","Mentorship","Documentation"]

Build and operate cloud-based data processing systems that turn machine learning insights into scalable product data quality improvements. Own the design, development, and deployment of resilient data pipelines, dashboards, and microservice architectures (e.g., rules engine and image customization services). Partner with engineering, applied science, product, and ML teams to combine insights from multiple sources, ensuring reliable, testable systems through reviews, mentorship, and iterative stakeholder validation.

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FursaFursa
Zalando
Zalando
1 day ago

Senior Data Engineer-Product Data Quality

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and operate cloud-based data processing systems that turn machine learning insights into scalable product data quality improvements. Own the design, development, and deployment of resilient data pipelines, dashboards, and microservice architectures (e.g., rules engine and image customization services). Partner with engineering, applied science, product, and ML teams to combine insights from multiple sources, ensuring reliable, testable systems through reviews, mentorship, and iterative stakeholder validation.
Location: Anywhere
Employment Type: Full time
Job Function: Quality & Regulatory (Non-Software)
Seniority: Mid level

Key Responsibilities

  • •Lead design, development, and deployment of the team’s data pipelines, dashboards, and related systems.
  • •Construct and maintain resilient, scalable architectures for product data processing.
  • •Integrate insights from multiple independent data sources to enhance product information.
  • •Develop and maintain cloud-based microservice architectures, such as a flexible rules engine and an image customization service.
  • •Drive team processes, automation, communication, and iterative testing with stakeholders to improve velocity and outcomes.

Pay and Benefits

Perks:Health InsuranceDentalPensionRemote WorkPaid Leave

Key Requirements

  • •Deep experience designing and implementing data pipelines using technologies such as Databricks, Spark, and Airflow.
  • •Strong ability to design and build cloud-based data processing architectures adaptable to evolving product requirements.
  • •Experience working in collaborative environments across ML Engineers, Applied Scientists, and software engineering teams.
  • •Ability to develop dependable, testable systems with a quality mindset, using comprehensive reviews and mentorship.
  • •Comfort with a diverse technology stack and learning new languages, technologies, and systems to solve customer problems.
Experience:E-commerceSaaSMachine learning
Skills:Stakeholder managementCommunicationCollaborationMentorshipDocumentation
Tech Stack:DatabricksPythonAirflowSparkKotlinKubernetesElastic SearchPostgreSQLAWSMicroservices

Company Brief

Zalando
Zalando operates a leading European online marketplace for fashion and lifestyle products, offering clothing, shoes and accessories from international brands and local labels, plus logistics and marketing services to partner brands and retailers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2008
WebsiteLinkedIn