Teams at hipages Group

Build and maintain AI agent harnesses, software-factory platforms, plugins, MCP integrations, internal CLIs, and developer tooling. Improve the software development lifecycle through better automation, testing, observability, and developer experience. Integrate agent tools with scoped permissions, error handling, and verification, while supporting AWS/Kubernetes infrastructure, Terraform, CI/CD, and production troubleshooting. Validate AI outputs and share effective AI use cases across engineering teams.

Leads and manages an analytics engineering team while setting organization-wide standards for data modeling, governance, observability, and self-service analytics. Designs scalable dbt and Databricks data models, semantic layers, data contracts, and reliable data products integrated with Tableau. Drives CI/CD, automated testing, documentation, pipeline performance, data quality, and cross-functional alignment across engineering, analytics, commercial, product, and data science teams.

Analyze trends, acquisition funnels, segmentation, experiments, and channel performance to generate actionable business insights. Translate complex data into recommendations, support product and commercial strategy, inform requirements, and measure feature effectiveness. Collaborate with Product, Engineering, Marketing, Commercial, and data teams while strengthening reporting and analytics capabilities.