Data Engineering Grad

ABOUT US

Africa has an untapped talent pool that is increasing exponentially, with a projected workforce that will exceed India and China by 2035. Fuelled by this, our mission is to create work opportunities for millions of Africa’s youth and solve the world’s shortage of technology talent. 

Our company SAND has 450+ staff members from 48+ countries with plans to acquire several companies around the world to become a multi-billion dollar global technology services provider that employs over 100K employees across the globe.

We have 2 brands represented in our ecosystem:

• With ALX, we're cultivating the fastest-growing pool of technology talent globally, training aspiring professionals in software engineering, cloud computing, data science, and Salesforce across over 60 countries. ALX fosters a vibrant community for top tech talent, igniting transformative careers by connecting top technology talent with extraordinary opportunities for impact.
• Through Sand Technologies we support enterprises and scale-ups around the world to develop world class technology products, build great technology teams, generate more revenue, and deliver outstanding customer experience. Our clients include one of the largest cloud computing providers in the world as well as Bestseller A/S (Denmark), Create Prime (New Zealand), Stanbic Bank (Kenya), and Tamara (Dubai). 

With varying levels of expertise in software development, data, cloud, machine learning, artificial intelligence, UX design, web development, etc, we provide unparalleled opportunities to technology talent worldwide while reshaping industries, disrupting traditional business models, and creating new opportunities for innovation and growth.

Sand is a fast-growing, technology services company with clients across four continents. The Enterprise AI Application team within Sand has 200+ scientists and engineers based in South Africa, the UK and the US who work in the Utilities, Telco, Healthcare, Insurance and Investment sectors. We believe that enterprises can fundamentally improve the way they run their businesses by leveraging the wealth of data they have access to. We build industrial-grade AI applications, supported by digital twin platforms and digital skills transformation, to ensure our applications deliver value. We’ve built over 20 industrial AI Solutions that are in active use by our clients today. These applications have fundamentally changed the way our customers run their operations. We have won multiple awards for the work we’ve done - including Water Productivity App of the Year and UK Data Science Project of the Year (2021). Our teams work at the cutting edge of AI technology, with an inquisitive and collaborative mindset, doing meaningful work to impact the world ... that you can be proud to tell your kids about.

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. 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!