ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 1 Π΄Π΅Π½Ρ Π½Π°Π·Π°Π΄
Digital Analytics Engineer (Databricks)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
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: HQ in London
Company
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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β