Our mission is to solve the prevailing shortage of IT-competence and thereby, play a central role within the increasing need of recruiting programmers and developers.
In order to do that, our strategy is to specialize in headhunting and roles that are difficult to recruit. This has led us to develop models for how to attract and engage the right candidates. With an agile approach, solid networks and a close cooperation with our customers, we are the market leaders within recruiting tech competence and provides our customers the conditions to continue growing.
Who we are💙Here at Waitwhile we're on a mission to eliminate the 1 trillion hours people spend waiting in lines every year. Our platform combines virtual waitlists, scheduling, real-time updates, messaging, and analytics to make access to places, services, and events seamless, online or in person. Trusted by 10,000+ companies, Waitwhile has already helped over 150 million people enjoy a radically better waiting experience. Our clients include IKEA, Louis Vuitton, Costco, Delta Airlines, and thousands more. We’re just getting started, and we need your help.
The roleAs a Data Engineer at Waitwhile you’ll play a foundational role in building and maintaining a scalable, secure, and compliant infrastructure that powers Waitwhile’s intelligence. You’ll be responsible for the complete data lifecycle: managing ETL/ELT pipelines to centralize data, orchestrating transformations, serving our Analytics APIs, and ensuring high-value insights are pushed back into business tools. In this role, you will also serve as a technical advisor to Product and Leadership on how to operationalize AI.
What you’ll ownLaunch 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.
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.
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!