C
CAVU applies data analytics and event-based architecture to airport operations, with a tech stack spanning Databricks, Snowflake, BigQuery, and Tableau. The hiring mix—tilted toward data and engineering roles across multiple seniority levels—signals focus on building out a centralized data function, which aligns with their stated challenge of scaling data engineering. Active projects around scenario modeling, A/B testing, and predictive churn models indicate a shift from static passenger insights toward real-time personalization and revenue optimization.
Tech Stack 22 technologies
Core StackGoogle Analytics Power BI Databricks Tableau PHP Laravel AWS Terraform Auth0 GitHub Copilot BigQuery Snowflake DynamoDB AWS Lambda TypeScript Microsoft Office Teams SQL Google Data Studio PHPStan LaunchDarkly Excel
What CAVU Is Building
◆Challenges
- Optimising trading strategies
- Managing payroll compliance
- Scaling centralised data engineering function
- Leave management compliance
- Audit support
- Improving conversion rate
- Optimising digital journeys
- Analyzing pricing and promotions
- Managing complex disparate datasets
- Campaign performance improvement
▲Active Projects
- Future focused people plan
- Dei initiatives
- Health and wellbeing initiatives
- Scenario modelling for hypothetical trading situations
- Event-based architecture
- Cro programme
- A/b and multi variant tests
- Developing best practice approaches to complex datasets
- Optimising trading strategies
- Predictive churn and lifetime value models
Hiring Activity
15 roles · 7 in 30d
Department
Seniority
Notable leadership hires: Technical Lead
Company intelligence
