IT & Software

Digital Analytics Engineer

ASOS

London · Greater London · United Kingdom

Overview

In this role you will shape how ASOS understands customer behaviour across web and app by building reliable behavioural models and ensuring high-quality data for analytics and experimentation. You will partner with product and engineering teams to design instrumentation, maintain data quality, and enable trusted metrics for self-serve analysis and leadership reporting. This position offers impact through scalable data products and a strong focus on privacy-conscious, observable data. You will work across Databricks, pipelines, and semantic layers to empower data-driven decisions.

Pay / Benefits
  • employee discount (hello ASOS discount!)
  • employee sample sales
  • 25 days paid annual leave + extra celebration day
  • private medical care scheme
  • Fixed Annual Payment in addition to salary
  • learning opportunities and in-the-moment experiences
Responsibilities
  • Model and extend core behavioural models in Databricks for web and app
  • Design and maintain session logic, funnels, journeys, attribution, and feature usage metrics
  • Own data quality and consistency of behavioural events entering analytics platforms
  • Build transformation pipelines for enrichment and standardisation; manage event contracts with frontend teams
  • Implement end-to-end data quality checks and monitor schemas, completeness, and drift
  • Enable trusted metrics via Databricks metric-enabled views and Power BI semantic models
  • Collaborate with product analysts and engineers to ensure clear, reusable metrics
  • Align frontend instrumentation with analytics needs and review instrumentation changes
Key requirements
  • Experience in analytics engineering, data engineering, or product analytics
  • Strong SQL and hands-on experience with Databricks / Spark / DBT / Python
  • Solid understanding of behavioural and event-based data modelling
  • Experience with product analytics platforms (Mixpanel, Adobe or similar)
  • Experience building reliable data pipelines and quality controls
  • Comfortable working with software engineers on data instrumentation
  • Pragmatic, detail-oriented approach to data quality
  • collaboration with cross-functional teams
  • attention to detail
  • pragmatism in tackling data quality issues
  • Databricks
  • Spark
  • DBT

Reference: WJ-747_30313319

Apply now

Continue on the employer's official application - the same link they use for every candidate.

More jobs

This role is listed on GigBlows for discovery and search. Hiring decisions and applications are handled by the employer or their chosen application system.