Future-forward horizons: Top 3 tech careers to pursue in 2024 unveiled for unprecedented opportunities and innovation

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With the start of the new year, many people are looking to take a new turn in 2024, especially when it comes to their careers. Particularly for those involved in the tech industry, the fast-moving nature of the field means that a vast range of new and exciting opportunities are constantly arising.

If you’re in this boat yourself, choosing a new career path can be a daunting task. However, we are here to help. We’ve discovered three exciting tech careers for 2024 to consider, all of which are in high demand and at the forefront of driving change in the industry.

1. SAP Consultant

SAP (Systems, Applications and Products) is a leading enterprise resource planning (ERP) system that streamlines business processes and increases overall efficiency. The most common – and arguably the most important – role in this field is that of a SAP consultant.

SAP consultants play a vital role in helping organizations integrate, implement, and customize SAP software solutions. They work closely with customers to understand their business needs, analyze existing processes, and suggest tailored solutions. Consultants are then responsible for configuring and customizing SAP modules, providing training to end-users, and ensuring smooth system deployment.

Given that SAP solutions are used by over 400,000 businesses globally, consultant roles are in high demand. Not only that but as SAP recruitment agency EurSap explains, the role offers “challenging work, teaching cross-transferable skills and on-the-job learning. It’s well paid, in demand, and offers opportunities for career progression. Provides excellent opportunities.

To advance in this position, you will need a strong understanding of business processes, excellent problem-solving skills, and proficiency in SAP modules. Certification in specific SAP modules is often preferred, demonstrating expertise in areas such as finance, supply chain, or human resources.

2. Cloud Computing Engineer

Cloud computing engineers are the architects of the digital revolution, leveraging cloud platforms to store, manage, and process data. As businesses shift from traditional on-premises solutions to cloud-based infrastructure, the role of a cloud computing engineer is becoming increasingly indispensable.

Such engineers design, implement, and manage cloud infrastructure while ensuring scalability, security, and optimal performance. They collaborate with cross-functional teams to develop cloud-native applications, deploy solutions, and monitor and troubleshoot cloud environments.

So it’s no surprise that demand for cloud computing engineers is very high, having increased by 27% globally since 2020. Furthermore, “many cloud engineering salaries are in the six-figure range, even for entry-level positions. Cloud engineers can also enjoy attractive benefits like remote work arrangements and professional development support.

Cloud computing engineers are required to have a strong foundation in networking, security, and proficiency in cloud platforms such as AWS, Azure, or Google Cloud. Meanwhile, certifications from cloud service providers demonstrate expertise and can also enhance career prospects.

3. AI Engineer

AI engineers develop systems and applications that mimic human intelligence. From machine learning algorithms to natural language processing, these professionals play a vital role in creating intelligent solutions that drive innovation across industries. The demand for AI engineers is skyrocketing, with hiring of AI experts, including engineers, increasing by 74% annually over the past four years.

The most common duties of an AI engineer include designing and implementing machine learning models, analyzing large datasets, and developing algorithms that enable systems to learn and adapt. These professionals also collaborate with data scientists and software developers to integrate AI capabilities into applications, creating products that can automate tasks and provide valuable insights.

Becoming an AI engineer requires a solid background in mathematics, programming, and machine learning. Proficiency in programming languages ​​like Python and expertise in frameworks like TensorFlow or PyTorch are also highly valued, while continuous learning is important in this dynamic field.