NALA

Analytics Engineer

• Own end-to-end modelling and transformation of domains in dbt and Snowflake
• Define modelling methodology with the existing Analytics Engineer, including grain and dimensional patterns
• Make models agent-ready through rich semantics, consistent naming, business descriptions, and safe querying
• Own streaming and near-real-time pipelines alongside batch transformation
• Establish coding, agentic-coding, testing, and documentation standards enforced through CI
• Optimise warehouse performance and cost, including query patterns and materialisation choices
• Deploy and supervise autonomous agents against the data stack
• Monitor data infrastructure and integrate it with incident.io and PagerDuty, including escalations, SLAs, and documented processes
• Support and mentor analysts in analytics-engineering practice
• Refactor the warehouse for agents and reduce its cost
• Build the post-AI data stack with agent-readable artifacts, agent-operated tools, owned context, and a consistent company data reality

Explore Senior Analytics Engineer at NALA. Review requirements and application details.