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SnapTravel // hotel booking over SMS, Messenger & Slack
Engineering, Full Time    Toronto    Posted: Thursday, October 22, 2020
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About Us

Snaptravel is an AI commerce startup, allowing millions of users around the world to book their travel over messaging. By the end of 2021 we're expecting to be driving $1B in revenue from travel & other exciting verticals beyond travel too (we'll tell you more about those during the interview process)!

With a high-performing team of world class leaders, Snaptravel thrives on tackling complex problems within AI, Ecommerce, & Conversational Design to push the boundaries of the value we can add to our user's lives!

At Snaptravel, we pride ourselves on the performance-driven environment we've created for our team to prosper & excel. Our values are rooted in making data driven-decisions & risk-taking actions that add value to both the user & the company.

About the Role

We are looking for a Data Engineering Lead to join our growing Data Analytics team! The role will be responsible for building the vision & execution of Operational Data Systems at Snaptravel, including infrastructure, ML/AI, predictive cohorts, & recommender systems embedded in our product. You will work closely with a full-stack team of Data Analysts, Data Engineers, Data Scientists & Analytics Engineers to further enhance how our data team works with stakeholders. We have a modern data technology stack using Stitch, Airflow, Snowflake, dbt, Looker & a proprietary logging pipeline that manages millions of events per day. We have state of the art Analytic Systems: ingestion, warehousing. documentation & dashboarding. Some of this role will be to continue to level up those systems & fix them when they break. We are looking for someone who can also leverage our large-scale data on user-behaviour with our product using predictive analytics, segmentation or other initiatives that deliver business value. In this role, you will be a thought partner with business stakeholders helping to build upon the algorithms that help deliver a better customer experience.
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