Data Engineer

Vilnius, Vilnius County, Lithuania · Data & Analytics


About Urban

Urban was founded in 2014 by Jack and Giles, who had a simple mission: to provide easy and affordable access to wellness so that people can live happier and healthier every day.

Since then, we've delivered well over 300,000 massage therapy treatments in London, Paris, Manchester and Birmingham. We empower wellness practitioners by providing them with a marketplace to meet local customers, business software to manage their work and a community to belong to.

In late 2018, we expanded beyond massage to form three business divisions: mind/body, beauty and fitness. Our growing range of services includes massage, facial, nail and osteopath treatments performed at times and places chosen by our users.

Urban’s culture and whom we work with

We believe that freedom and trust bring the best out of people, so we work with team-players who get the importance of owning their responsibilities.

We live and breathe our values; we're curious, supportive, fair, evident in our communication, and never settle for average. We're a diverse team and particularly encourage applications from different underrepresented demographics.

We're building the future of wellness. Join us.

The Role

As a logistic enabled and community-driven marketplace in the wellness sector, timely and accurate data is crucial for all the team in Urban to make well-informed, data-driven decisions to enhance our user's well-being. We are looking for a Mid to Senior level Data Engineer to join our Data and Analytics Team in our Lithuanian Office.

Working closely with Head of Analytics and our Dev Ops team, you will have the opportunity to maintain and build out our first in class Data Pipeline and Warehousing platform, providing you with insight on how data infrastructure can impact business strategies and day to day operation across all team from Executives to Supply Operation.

What you will be doing?

You will:

We believe that great insights come from team-work and tenacious curiosity. The analytics team's lean structure provides individuals with ultimate freedom and responsibility to share great ideas, make a tremendous impact and rotate among streams for wider exposure.


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