Digital Analytics Engineer
London, England, United Kingdom
GBP 65K-80K (estimate) Senior-level Full Time
Tasks
- Align frontend instrumentation and event payload schemas
- Build Power BI semantic models
- Build behavioural data models in Databricks
- Build transformation pipelines for enrichment and standardisation
- Design session logic funnels journeys attribution logic
- Enable semantic layer metrics with Databricks metric views
- Enforce event schemas naming conventions data types and required fields
- Implement end to end data quality checks
- Maintain behavioural marts for analytics and experimentation
- Monitor schema changes validation failures event completeness coverage cardinality drift volume anomalies identity stitching integrity
- Own behavioural event data pipelines and event quality
- Review instrumentation pull requests
- Support experiment tagging and exposure tracking
Perks/Benefits
- Employee discount
- Employee sample sales
- Paid annual leave
- Personalised learning
- Private medical care
- Private medical scheme
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | Attribution Logic | Attribution Modeling | B testing | Cross device | Cross-Device Tracking | DBT | Data Observability | Data Quality | Data pipeline | Databricks | Device tracking | Event modeling | Experimentation | Funnels | Identity resolution | Metric Enabled Views | Power BI | Python | SQL | Schema Validation | Semantic Modeling | Sessionization
Education
N/A
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