Job Description
📋 Description Build and run production data pipelines. Design, implement, and operate scalable ETL pipelines and Develop the analytics and semantic layer. Model core business metrics and feature usage signals Make data self-service. Build the monitoring, alerting, and data-quality checks that let other Raise the bar for the team. Mentor engineers and improve our patterns for coding, data modeling 🎯 Requirements Data transformations using dbt Data storage (SQL / NoSQL): schema design and data modeling; exposure to multi-tenant systems Back-end engineering: Python (nice to have: TypeScript/Node.JS) Pipelines: streaming and batch, and keeping them correct as they evolve Data quality and observability: testing, monitoring, alerting, and incident response Infrastructure as code and containerisation (Terraform, Kubernetes) 🎁 Benefits Inclusive, diverse culture that values belonging and open expression Opportunity to impact AI strategy and data platform at Beamery Collaborative environment with focus on growth, learning, and mentorship
