Digital Analytics Engineer

ASOS
London
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Detail-oriented","Pragmatic","Collaboration"]

Build and extend behavioural data models in Databricks to describe how customers interact with ASOS across web and app. Own behavioural event pipelines, ensuring schemas, naming conventions, privacy-first compliance, and reliable data quality with observability for schema changes, drift, and anomalies. Enable trusted metrics via Databricks metric views and Power BI semantic models, partnering with product and engineering teams to align instrumentation and experimentation.

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FursaFursa
ASOS
ASOS
2 days ago

Digital Analytics Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and extend behavioural data models in Databricks to describe how customers interact with ASOS across web and app. Own behavioural event pipelines, ensuring schemas, naming conventions, privacy-first compliance, and reliable data quality with observability for schema changes, drift, and anomalies. Enable trusted metrics via Databricks metric views and Power BI semantic models, partnering with product and engineering teams to align instrumentation and experimentation.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Build and maintain behavioural models in Databricks, including session logic, funnels and journeys, attribution logic, feature usage metrics, and experiment exposure datasets.
  • •Create domain-specific behavioural marts optimized for analytics and experimentation.
  • •Own the quality and consistency of behavioural events flowing into analytics platforms, ensuring schemas, naming conventions, data types, required fields, and privacy-first compliance.
  • •Build and maintain transformation pipelines for enrichment and standardization, and act as a technical owner of event contracts between frontend and analytics.
  • •Implement end-to-end data quality checks and observability across frontend ingestion and analytics to monitor schema changes, validation failures, completeness, cardinality drift, and volume anomalies.

Pay and Benefits

Perks:Employee DiscountPrivate MedicalAnnual Leave

Key Requirements

  • •Experience in analytics engineering, data engineering, or product analytics.
  • •Strong SQL and experience with Databricks / Spark / DBT / Python.
  • •Solid understanding of behavioural and event-based data modelling.
  • •Hands-on experience building reliable data pipelines and quality controls.
  • •Comfort working closely with software engineers on data instrumentation.
Experience:Product analyticsExperimentation
Skills:Detail-orientedPragmaticCollaboration
Languages:English
Tech Stack:SQLDatabricksSparkDBTPythonMixpanelAdobePower BI

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