Zalando

3 weeks ago

Senior Data Engineer (all genders) - Tradebyte

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Build Tradebyte’s centralized data lakehouse from scratch, taking end-to-end ownership of the Data Refinery from CDC ingestion to Gold-layer, business-ready data products. Design and maintain scalable ELT pipelines with Databricks Delta Live Tables, align data contracts with source-system owners, and implement governance and security in Unity Catalog. Improve data quality via technical analysis and root-cause work, collaborating closely with Zalando’s Data Foundation teams.

Location: Germany, United Kingdom

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Take end-to-end responsibility for the Data Refinery, from CDC ingestion through Gold-layer business-ready data products.
•Design, build, and maintain scalable ELT pipelines using Databricks Delta Live Tables (DLT).
•Define and align data contracts with owners of source systems (e.g., TB.One).
•Implement and oversee data governance and security standards within Unity Catalog.
•Perform technical analysis and root cause analysis to improve data quality and pipeline reliability.

Pay and Benefits

Perks:EquityPaid LeaveRelocationGym Membership

Key Requirements

•Extensive experience with the Databricks ecosystem, including Unity Catalog, Delta Live Tables, and Workflows.
•Deep understanding of Medallion Architecture (Bronze, Silver, Gold) and Delta Lake internals.
•Proficiency in Apache Spark (PySpark) and Python for large-scale data processing.
•Several years building scalable streaming and batch pipelines using CDC from RDBMS (e.g., MySQL/BinLogs).
•Experience with Infrastructure as Code (Terraform), Docker, Git (trunk-based development), and DevOps principles.

Skills:CollaborationCommunicationDocumentationRoot cause analysisProblem-solving

Languages:English

Tech Stack:DatabricksDelta Live TablesUnity CatalogMedallion ArchitectureDelta LakeLakehouseELTApache SparkPySparkPythonStreamingBatchCDCMySQLBinLogsTerraformDockerGitTrunk-based developmentDevOps

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

Website LinkedIn

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Zalando

3 weeks ago

Senior Data Engineer (all genders) - Tradebyte

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Germany, United Kingdom

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Take end-to-end responsibility for the Data Refinery, from CDC ingestion through Gold-layer business-ready data products.
•Design, build, and maintain scalable ELT pipelines using Databricks Delta Live Tables (DLT).
•Define and align data contracts with owners of source systems (e.g., TB.One).
•Implement and oversee data governance and security standards within Unity Catalog.
•Perform technical analysis and root cause analysis to improve data quality and pipeline reliability.

Pay and Benefits

Perks:EquityPaid LeaveRelocationGym Membership

Key Requirements

•Extensive experience with the Databricks ecosystem, including Unity Catalog, Delta Live Tables, and Workflows.
•Deep understanding of Medallion Architecture (Bronze, Silver, Gold) and Delta Lake internals.
•Proficiency in Apache Spark (PySpark) and Python for large-scale data processing.
•Several years building scalable streaming and batch pipelines using CDC from RDBMS (e.g., MySQL/BinLogs).
•Experience with Infrastructure as Code (Terraform), Docker, Git (trunk-based development), and DevOps principles.

Skills:CollaborationCommunicationDocumentationRoot cause analysisProblem-solving

Languages:English

Tech Stack:DatabricksDelta Live TablesUnity CatalogMedallion ArchitectureDelta LakeLakehouseELTApache SparkPySparkPythonStreamingBatchCDCMySQLBinLogsTerraformDockerGitTrunk-based developmentDevOps

Company Brief

Zalando

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

Website LinkedIn