Data Engineering Grad

ABOUT US

Sand Technologies is a global leader in digital transformation, empowering leading organisations and governments worldwide to achieve their digital aspirations. 

We offer a comprehensive suite of services, including enterprise AI solutions, data science, software engineering, and IoT, delivered from our centres in the Americas, Europe, and Africa. 

Our training programmes, in partnership with organisations like the Mastercard Foundation, Amazon Web Services, Holberton, and ALX cultivate the next generation of agile digital leaders.

Through recent strategic acquisitions, Sand Technologies has further strengthened its capabilities in advanced analytics and intelligent software development, enhancing our ability to solve our clients' most pressing challenges across telecom, utilities, healthcare, and insurance industries. 

We believe in harnessing technology to deliver real impact and value, helping organisations bridge the gap between their current reality and digital future.

We do hard things!

Join Our Graduate Programme: Empowering Future Data Practitioners and Software Engineers!

As you complete your studies, we invite you to apply for our one-year Graduate Programme at Sand Technologies. The programme is designed specifically for aspiring data practitioners and software engineers who have no prior work experience, and it will will equip you with the skills, knowledge, and hands-on experience you need to thrive in the tech industry.

What You’ll Gain:

• Comprehensive training: Engage in a structured curriculum covering essential tools and technologies to support your technical and personal development.
• Hands-on experience: Work on real-world projects that make an impact, collaborating with industry experts and peers.
• Mentorship opportunities: Receive technical guidance and career support from experienced professionals who are dedicated to your success.

Who Should Apply: We’re looking for applicants between the age of 18-35 in Africa. No experience is necessary; we only require a project showcasing your skills and problems you’re passionate about solving.

We welcome applications from recent graduates in Computer science, Engineering, Mathematics, Statistics, and any data related courses. If you’re eager to learn and are passionate about data-driven solutions, we want to hear from you!