Senior Data Engineer

📋 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