What you’ll own

• Launch and maintain a scalable semantic data layer that reflects an updated view of our customers' reporting needs and has connectivity to AI tools
• Scope and deploy infrastructure for a production-facing AI feature.
• Maintain high availability for the analytics and reporting API endpoints serving the Waitwhile application.
• Maintain and improve the ML-based wait estimation implementation.
• Ensure strict anonymization, masking, and necessary separation of customer data, with zero leakage of tenant data.

What Skills You Need

• 5+ years of experience as a Data Engineer or similar role.
• Strong familiarity with Google Cloud Platform services, specifically BigQuery and Vertex AI, along with SQL.
• Hands-on experience with data transformation tools like DBT or Dataform.
• Theoretical understanding of semantic data layer tools, such as Cube.js or LookML.
• Master of Science in an applicable field.

Bonus Skills & Attributes:

• Knowledge of JavaScript/TypeScript and NodeJS.
• SaaS experience, especially where analytics is part of the product offering.
• Experience deploying ML models to production (MLOps) and an understanding of how to integrate LLMs/AI agents into application workflows (MCP concepts).
• Experience handling PII and implementing GDPR/CCPA deletion workflows.

A great place to work❤️ We want Waitwhile to be an incredible place to work. We offer great benefits and perks, flexible working hours and lots of interesting challenges. We believe in making work fun and rewarding and care about your development and are committed to your success. Join Waitwhile at this exciting stage and help shape both our future and your own.

Waitwhile has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. We aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, what are you waiting for? Apply for this job!