Burberry

5 days ago

Data Engineer (London, , GB)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Build and govern data products that power reporting and analytics, turning ingested platform data into business-ready layers across key domains like Customer, Product, Order, Sale, and Supply Chain. Work in cross-functional squads with Data Product Managers, Data Platform Engineers, architects, and third-party partners to maintain documentation, interface contracts, and quality controls. Use Python, SQL, and Spark in a modern cloud environment (Databricks), ensuring privacy and production-ready engineering standards.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design and build data models and transformation logic that produce governed data products across key business domains.
•Manage the engineering layer between platform-level ingestion and reporting/visualisation outputs to meet enterprise consumption standards.
•Collaborate with Data and Solution Architects and Data Platform Engineers to align work to enterprise data models and platform strategy.
•Embed quality controls, validation, testing, and monitoring into transformation layers, and maintain documentation of business rules and data lineage.
•Define and maintain interface contracts, data contracts/versioning, and privacy/PII and access-control requirements; support knowledge transfer and productionisation needs.

Key Requirements

•Experience in a data engineering role building models and transformation layers in a modern cloud environment (e.g., Databricks).
•Proficiency in Python, SQL, and Spark, with practical experience in ETL/ELT and data modelling.
•Experience developing and working with CI/CD pipelines.
•Strong understanding of dimensional/relational modelling, data quality management, and integration patterns.
•Familiarity with data governance principles, metadata standards, and business glossary alignment.

Skills:Detail-orientedProactiveCollaborationDocumentationCross-functional teamwork

Tech Stack:PythonSQLSparkDatabricksETLELTCI/CDGitDeltaParquet

Company Brief

Burberry

British luxury fashion house designing and selling ready-to-wear, accessories, fragrances, and leather goods. Known for its trench coats, distinctive check pattern, and global retail presence across wholesale, e-commerce, and owned stores.

Industry: Luxury Goods

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1856

Website LinkedIn

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Burberry

5 days ago

Data Engineer (London, , GB)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design and build data models and transformation logic that produce governed data products across key business domains.
•Manage the engineering layer between platform-level ingestion and reporting/visualisation outputs to meet enterprise consumption standards.
•Collaborate with Data and Solution Architects and Data Platform Engineers to align work to enterprise data models and platform strategy.
•Embed quality controls, validation, testing, and monitoring into transformation layers, and maintain documentation of business rules and data lineage.
•Define and maintain interface contracts, data contracts/versioning, and privacy/PII and access-control requirements; support knowledge transfer and productionisation needs.

Key Requirements

•Experience in a data engineering role building models and transformation layers in a modern cloud environment (e.g., Databricks).
•Proficiency in Python, SQL, and Spark, with practical experience in ETL/ELT and data modelling.
•Experience developing and working with CI/CD pipelines.
•Strong understanding of dimensional/relational modelling, data quality management, and integration patterns.
•Familiarity with data governance principles, metadata standards, and business glossary alignment.

Skills:Detail-orientedProactiveCollaborationDocumentationCross-functional teamwork

Tech Stack:PythonSQLSparkDatabricksETLELTCI/CDGitDeltaParquet

Company Brief

Burberry

Industry: Luxury Goods

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1856

Website LinkedIn