Senior Data Engineer - Data Science/Machine Learning Platform

ASOS
London
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Mentoring","Problem-solving","Technical guidance","Code review"]

Build and evolve a modern Azure-based data platform that powers ASOS’s data science and machine learning capabilities. Design and deliver scalable, reliable data pipelines and processing frameworks using Python, Scala, Spark, and Databricks. Own platform components for building, testing, deploying, and monitoring data products, improving observability, data quality, and operational excellence while partnering with data and engineering teams to enable new ML use cases.

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FursaFursa
ASOS
ASOS
14 hours ago

Senior Data Engineer - Data Science/Machine Learning Platform

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and evolve a modern Azure-based data platform that powers ASOS’s data science and machine learning capabilities. Design and deliver scalable, reliable data pipelines and processing frameworks using Python, Scala, Spark, and Databricks. Own platform components for building, testing, deploying, and monitoring data products, improving observability, data quality, and operational excellence while partnering with data and engineering teams to enable new ML use cases.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and build data platform capabilities supporting data and machine learning workloads across ASOS.
  • •Develop high-performance data pipelines and processing frameworks using Python, Scala, Spark, and Databricks.
  • •Own and evolve platform components that help engineers and data scientists build, test, deploy, and monitor data products.
  • •Improve platform reliability, observability, data quality, and operational excellence.
  • •Partner with Data Scientists, ML Engineers, and Product Engineering teams to solve data challenges and enable new machine learning use cases.

Pay and Benefits

Perks:Employee DiscountPaid LeavePrivate MedicalAnnual BonusLearning Budget

Key Requirements

  • •Experience building or operating large-scale data platforms or data-intensive applications in a cloud environment.
  • •Hands-on experience with Databricks, Spark, and distributed data processing technologies.
  • •Production-grade data engineering experience developing solutions using Python and/or Scala.
  • •Experience designing data architectures that balance scalability, reliability, and cost efficiency.
  • •Experience implementing modern engineering practices including CI/CD, automated testing, observability, and Infrastructure as Code.
Experience:Data engineeringMachine learningData platforms
Skills:CollaborationMentoringProblem-solvingTechnical guidanceCode review
Languages:English
Tech Stack:AzurePythonScalaSparkDatabricksCI/CDInfrastructure as Code

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