Senior Data Engineer - Data Science Platform

ASOS
London
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Automation","Standardisation","Developer experience","Performance optimisation","Collaboration"]

Design and build scalable, reusable data pipelines and platform components that deliver reliable, secure, high-quality datasets across ASOS product teams. Partner with embedded Data Scientists, Analysts, and Engineers to standardise ingestion, transformation, and serving layers. Build on Azure-based tooling (ADF, ADLS, Databricks, Delta Lake) using Python/Scala and Spark/PySpark, and improve CI/CD, testing, observability, performance, and developer experience.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
ASOS
ASOS
6 hours ago

Senior Data Engineer - Data Science Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Design and build scalable, reusable data pipelines and platform components that deliver reliable, secure, high-quality datasets across ASOS product teams. Partner with embedded Data Scientists, Analysts, and Engineers to standardise ingestion, transformation, and serving layers. Build on Azure-based tooling (ADF, ADLS, Databricks, Delta Lake) using Python/Scala and Spark/PySpark, and improve CI/CD, testing, observability, performance, and developer experience.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain scalable data pipelines and reusable platform components to deliver reliable, secure data solutions.
  • •Develop reusable templates, frameworks, and tooling to support data teams across ASOS.
  • •Drive standardisation and best practices across ingestion, transformation, and serving layers for consistent outputs across product domains.
  • •Enable teams to deliver production-ready datasets via guidance, patterns, and hands-on technical support.
  • •Implement modern data engineering practices including CI/CD, data quality validation, testing, observability, metadata management, and performance/cost optimisation.

Pay and Benefits

Perks:Private MedicalPaid Leave

Key Requirements

  • •Strong experience as a Data Engineer building scalable data platforms.
  • •Deep expertise in Azure, including Azure Data Factory, ADLS, and Databricks.
  • •Proficiency in Python and/or Scala for large-scale data processing (including Spark/PySpark).
  • •Hands-on experience with Databricks and Delta Lake.
  • •Experience with CI/CD for data pipelines and modern data engineering practices (data quality validation, testing, observability).
Skills:AutomationStandardisationDeveloper experiencePerformance optimisationCollaboration
Languages:English
Tech Stack:PythonScalaSparkPySparkAzureAzure Data FactoryADLSDatabricksDelta LakeDbtTerraformCI/CD

Company Brief

ASOS
ASOS plc is a UK-based online fashion and beauty retailer selling thousands of branded and own-label products worldwide through its e-commerce platform, targeting young adult customers with fast-fashion, marketplace third-party brands, and integrated logistics and marketing services.
Industry: E-commerce
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: 2000
Glassdoor
Glassdoor: 3.4
WebsiteLinkedInGlassdoor