Teams at Bringg

Own and evolve core backend services for a large-scale, AI-driven SaaS platform. Drive AI-assisted development adoption, build algorithmic components, design scalable distributed systems, contribute to architecture, and lead testing and observability efforts.

The Analytics Engineer will enhance data infrastructure, manage data quality and governance, optimize data models, and collaborate with data teams to support analytics and machine learning initiatives.

As a Data Engineer, you'll optimize and manage data pipelines using BigQuery, enhance real-time analytics, and oversee the deployment of AI/ML models, ensuring reliability and automation. Your role will involve direct ownership of the data infrastructure and collaboration with data teams to empower data-driven solutions.