Datatonic
A Data Engineer at Datatonic is responsible for developing and optimizing scalable data pipelines and building data warehouses on Google Cloud. This role requires expertise in technologies such as dbt, Looker, Snowflake, and BigQuery, as well as proficiency in Python and SQL to support analytics and data science teams with high-quality infrastructure. Collaborating closely with project teams and technology partners, the Data Engineer will translate business requirements into technical solutions while adhering to software engineering best practices.
Headquarters
London, England, United Kingdom
Company Size
51-200 employees
Founded
2013
Datatonic is a leading cloud data and AI consultancy that specializes in helping organizations solve complex business challenges rapidly and effectively. They offer a suite of services, including data migration to the cloud, generative AI solutions, AI workbench support, and tailored marketing analytics. By leveraging advanced technologies and partnerships with notable platforms like Google Cloud, Datatonic empowers clients across various industries, from retail to telecommunications, to optimize data utilization and drive transformative results. With a commitment to innovation and excellence, Datatonic aims to elevate businesses into the data-driven future.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Datatonic.
Datatonic didn’t post a salary, so this is our estimate from similar listings.
Datatonic acquires Syntio to strengthen its data engineering capabilities
Apr 25, 2025