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Digital Analytics Engineer (Databricks)

Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle/senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify RU Global, списка ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ с восточно-СвропСйскими корнями
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Digital Analytics Engineer (Databricks): Building behavioural data models, event pipelines, and semantic datasets that describe customer interactions across ASOS web and app with an accent on analytics engineering, experimentation, and data quality. Focus on designing session and attribution logic, validating frontend event contracts, and enabling trusted metrics for self-serve analysis and leadership reporting.

Location: hirify.global HQ in London

Company

hirify.global is a fashion and ecommerce company focused on customer experience, technology, innovation, and data-informed decision-making.

What you will do

  • Build and extend behavioural models in Databricks describing customer interactions across web and mobile applications.
  • Design session logic, funnels, customer journeys, attribution logic, engagement metrics, and experiment exposure datasets.
  • Create behavioural data marts optimised for analytics and experimentation.
  • Own the quality and consistency of behavioural events, including schemas, naming conventions, data types, required fields, and privacy compliance.
  • Build end-to-end data quality and observability checks covering frontend instrumentation, ingestion, analytics platforms, and Databricks.
  • Enable trusted metrics through Databricks metric-enabled views and Power BI semantic models, partnering with product analysts, data teams, and engineers.

Requirements

  • Experience in analytics engineering, data engineering, or product analytics.
  • Strong SQL skills and experience with Databricks, Spark, dbt, and Python.
  • Solid understanding of behavioural and event-based data modelling.
  • Hands-on experience with product analytics platforms such as Mixpanel, Adobe, or similar tools.
  • Experience building reliable data pipelines and data quality controls.
  • Ability to work closely with software engineers on instrumentation, event payloads, schema design, and pre-release validation.

Nice to have

  • Experience supporting experimentation and A/B testing.
  • Knowledge of identity resolution and cross-device tracking.
  • Power BI semantic modelling experience.
  • Experience enabling self-serve analytics.
  • Interest in AI-assisted analytics or metric-driven agents.

Culture & Benefits

  • Employee discount, sample sales, and a discretionary performance-related bonus scheme.
  • 25 days of annual leave plus an additional celebration day.
  • Private medical care and matched pension contributions of up to 5%.
  • Personalised learning and career development opportunities.
  • Summer hours with a 3pm finish on Fridays in June, July, and August.
  • Free shuttlebus service between Watford station and the Leavesden office.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’