About DataQ

Website

Address

South Africa

Company Size

1-15
Summary

What we do

DataQ is a software and data science company that specializes in building data-intensive applications for clients across various industries. Our primary focus lies in aligning our software solutions with your business goals, ensuring high performance and targeted results. Our expertise spans across Information Technology & Services, Data & Analytics, Technology, Consulting & Professional Services, Integration Services, Machine Learning, Artificial Intelligence, Computer Science, Software Development, and more.

Why Work For Us

At DataQ, we offer a unique blend of challenges and opportunities. Our work environment is designed to foster innovation and encourage creativity. We provide our employees with the chance to work with cutting-edge technologies like cloud computing services and Google Cloud. Our estimated annual revenue ranges from $0 to $1M, indicating a stable financial position and promising growth opportunities.

Our Culture

Our culture at DataQ is built around the belief that technology can transform businesses. We are a team of passionate professionals dedicated to driving change and delivering value through our technological solutions. Based in South Africa, we are a group of 5 committed individuals, working tirelessly to achieve our common goals.

Our Engineering Processes

Our engineering processes are driven by the latest in machine learning, artificial intelligence, and software development. We leverage these technologies to design and implement data-intensive applications that meet the unique needs of our clients. Our approach is always business-goal oriented, ensuring our software solutions not only solve problems but also add value to the businesses we serve.

Our Hiring Processes

Our hiring process at DataQ is designed to identify talented individuals who share our passion for technology and innovation. We look for candidates with a strong background in computer science and software development, with a particular emphasis on data science and analytics. We value diversity, and we welcome applicants from all backgrounds and levels of experience.