Senior Data Engineer (all genders)

Zalando
Germany, United Kingdom
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["End-to-end ownership","Data quality focus","Root cause analysis","Collaboration","Communication"]

Build a centralized data lakehouse from scratch and help make data a first-class citizen. Own the end-to-end Data Refinery lifecycle—from CDC ingestion through Gold-layer, business-ready data products. Design and run scalable ELT pipelines with Databricks Delta Live Tables, implement data contracts with governance and security via Unity Catalog, and lead data quality/root-cause analysis. Collaborate closely with Zalando’s Data Foundation and development teams to deliver reliable insights.

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Zalando
Zalando
1 day ago

Senior Data Engineer (all genders)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build a centralized data lakehouse from scratch and help make data a first-class citizen. Own the end-to-end Data Refinery lifecycle—from CDC ingestion through Gold-layer, business-ready data products. Design and run scalable ELT pipelines with Databricks Delta Live Tables, implement data contracts with governance and security via Unity Catalog, and lead data quality/root-cause analysis. Collaborate closely with Zalando’s Data Foundation and development teams to deliver reliable insights.
Location: Germany, United Kingdom
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Take end-to-end ownership of the Data Refinery, driving the lifecycle from CDC ingestion to Gold-layer business-ready data products.
  • •Design, build, and maintain scalable ELT pipelines using Databricks Delta Live Tables (DLT).
  • •Partner with source system owners to define data contracts and uphold governance and security standards via Unity Catalog.
  • •Lead technical and root-cause analysis to champion data quality and pipeline reliability.
  • •Collaborate with development teams and the Zalando Data Foundation to foster a strong data culture and share knowledge.

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityPaid LeaveRelocationVolunteering DaysHealth Insurance

Key Requirements

  • •End-to-end ownership of a Data Refinery lifecycle, from ingestion (CDC) to delivering business-ready data products in the Gold layer.
  • •Design, build, and maintain scalable ELT pipelines using Databricks Delta Live Tables (DLT).
  • •Proficiency with Databricks ecosystem components like Unity Catalog and Delta Live Tables, plus Delta Lake lakehouse architecture.
  • •Strong data engineering skills with Python, Apache Spark (PySpark), and SQL to build scalable, high-performance data pipelines.
  • •Experience designing and maintaining reliable CDC pipelines from relational databases and understanding AWS services (S3, IAM, EC2) and Terraform for infrastructure as code.
Experience:Data engineeringCloudLakehouse
Skills:End-to-end ownershipData quality focusRoot cause analysisCollaborationCommunication
Tech Stack:DatabricksUnity CatalogDelta Live TablesDelta LakePythonApache SparkPySparkSQLCDCAmazon S3AWS IAMAmazon EC2TerraformCI/CDGitELT

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