IT & Software

Senior Data Engineer - Data Science Platform

ASOS

London · Greater London · United Kingdom

Overview

In this role you will design, build, and maintain scalable data pipelines and a robust data platform to enable reliable, secure data solutions across the company. You will collaborate with data scientists, analysts, and product teams to accelerate delivery and improve data quality and accessibility. You’ll promote modern data engineering practices and help teams adopt standardized patterns, ensuring production-ready datasets. This is an opportunity to shape ASOS’s data infrastructure within a fast-paced, cross-functional environment.

Pay / Benefits
  • Employee discount (ASOS)
  • Personalised learning opportunities
  • Flexible benefits allowance
  • Private medical care
  • Discretionary bonus
  • 25 days annual leave + extra day for special moments
Responsibilities
  • Design, build, and maintain scalable data pipelines using Python/Scala (Spark/PySpark) in Azure (ADF, Databricks)
  • Develop reusable data engineering templates, frameworks, and tooling
  • Drive standardisation across ingestion, transformation, and serving layers
  • Provide guidance and hands-on support to data teams for high-quality datasets
  • Implement modern data engineering practices, including CI/CD, data quality, testing, observability, and metadata management
  • Collaborate with stakeholders to understand data requirements and evolve the data platform
  • Partner with Platform Engineering, ML Engineering, and Security to ensure scalable, secure Azure infrastructure
  • Optimize data workflows for performance, reliability, and cost efficiency
Key requirements
  • Strong experience as a Data Engineer building scalable data platforms
  • Deep expertise in Azure (ADF, ADLS, Databricks)
  • Proficiency in Python and/or Scala (PySpark/Spark) for large-scale data processing
  • Hands-on experience with Databricks and Delta Lake
  • End-to-end data lifecycle knowledge (ingestion, transformation, serving)
  • Experience with dbt for transformations and Terraform for IaC
  • Familiarity with CI/CD pipelines and modern data engineering practices
  • Strong grounding in data modelling, quality, and testing
  • Experience with monitoring, observability, and performance optimisation
  • Focus on automation, standardisation, and improving developer experience
  • Collaborative mindset
  • Stakeholder communication
  • Problem-solving and initiative
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Databricks

Reference: WJ-747_30155947

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