
201 - 500 employees
Founded 2011
âïž SaaS
đ€ B2B
SaaS âą B2B
TableCheck is a technology company founded in 2011 that provides an all-in-one restaurant booking and guest experience platform for restaurants and hospitality businesses worldwide. It offers SaaS solutions to help restaurants manage reservations, guest interactions, and operational workflows, aiming to improve dining experiences and enable hospitality businesses to connect with diners more effectively. TableCheck operates globally with offices across multiple countries and emphasizes product innovation and sales/consulting services for the hospitality sector.
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201 - 500 employees
Founded 2011
âïž SaaS
đ€ B2B
SaaS âą B2B
TableCheck is a technology company founded in 2011 that provides an all-in-one restaurant booking and guest experience platform for restaurants and hospitality businesses worldwide. It offers SaaS solutions to help restaurants manage reservations, guest interactions, and operational workflows, aiming to improve dining experiences and enable hospitality businesses to connect with diners more effectively. TableCheck operates globally with offices across multiple countries and emphasizes product innovation and sales/consulting services for the hospitality sector.
âą Implementing source management through data generation and schema management âą Define data ingestion pipelines that normalize and transform clients data to fit our standard data schema âą Ensure data meet quality standards and routinely work with our customers, handling their requests and configuring the platform to their needs âą The drive to collaborate, gather feedback, solve problems, and tackle challenges through test and learn is highly valuable in this position
âą At least 2 years of experience using Elixir or Ruby for data-related projects in a production environment âą Experience with Python and/or Elixir âą Experience with database technologies such as PostgreSQL, SQLite, etc. âą Experience implementing the Data Engineering Lifecycle in an organization (both code and communication) âą 2-3 years of experience in a data scientist/data analyst/full-stack programming with Big Data or similar position âą Proficient with SQL with knowledge of database internals âą Familiar with machine learning concepts âą Demonstrated ability to absorb information, manage your own time and commitments, achieve desired results in a highly technical environment
âą Competitive salary âą Flexible working hours âą Professional development budget âą Home office setup allowance âą Global team events
Apply Nowđ March 23
Data Engineer developing scalable data platforms in an established Japanese company. Collaborating across teams to drive analytics and data-driven decision-making.
đŻđ” Japan â Remote
đ” „500k - „700k / year
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
đŁïžđŻđ” Japanese Required
Amazon Redshift
BigQuery
ETL
Python
SQL