The digital profiles more orders this 2026

1. Artificial Intelligence Specialist

An Artificial Intelligence Specialist develops or integrates AI systems into applications, business processes and digital products.

Their work can include automation, data analysis, virtual assistants, predictive models or AI-powered applications.

What should you study to work in Artificial Intelligence?

Some common academic routes include:

• Computer Engineering
• Data Science
• Mathematics
• Statistics
• Vocational training related to software development, followed by specialised AI training

It is also useful to build knowledge in areas such as:

Python, machine learning, language models, AI APIs, databases and cloud computing.

Master’s degrees and specialised courses in Artificial Intelligence and Machine Learning can also help you develop more advanced skills.

2. Cybersecurity Specialist

Cybersecurity professionals are responsible for protecting systems, applications, networks and data against vulnerabilities, cyberattacks and unauthorised access.

Cybersecurity includes many different specialisations, such as:

• Pentesting
• Cloud security
• Security auditing
• Incident response
• DevSecOps

What should you study to work in cybersecurity?

Some common routes include:

• Computer Engineering
• Telecommunications Engineering
• Vocational training in Network Systems Administration
• Master’s degrees or specialised cybersecurity programmes

You will also need knowledge of areas such as:

Linux, networking, operating systems, cloud environments, vulnerability analysis, scripting and application security.

Professional certifications such as CompTIA Security+, CEH, OSCP, as well as certifications from AWS, Microsoft Azure or other technology providers, can complement your training.

3. Full-Stack Developer

A Full-Stack Developer works on both the frontend of an application — what users see and interact with — and the backend logic that makes everything work behind the scenes.

Full-stack developers can build websites, SaaS platforms, enterprise applications, APIs and internal business tools.

What should you study to become a Full-Stack Developer?

You can enter this field through different routes:

• Computer Engineering
• Web Application Development (DAW)
• Cross-Platform Application Development (DAM)
• Bootcamps or specialised programming courses

Some useful technologies include:

HTML, CSS, JavaScript, TypeScript, React, Vue, Angular, Python, Java, Node.js, databases, APIs and Git.

You do not need to master every programming language or framework.

It is usually more valuable to become confident with one technology stack and then learn additional tools when a project requires them.

4. Data Analyst or Data Engineer

Data professionals help companies turn information into useful insights and better decisions.

Although the two roles are closely related, their responsibilities are different.

A Data Analyst works with data to identify patterns, create reports and build dashboards.

A Data Engineer, on the other hand, designs and maintains the infrastructure required to collect, organise, transform and move large volumes of data.

What should you study to work with data?

Relevant areas of study include:

• Data Science

• Computer Engineering

• Mathematics

• Statistics

• Business Analytics

Useful tools and technologies include:

SQL, Python, Power BI, Tableau, advanced Excel, databases and cloud platforms.

If you want to specialise in Data Engineering, you will also need to learn about ETL processes, data pipelines, data architecture and large-scale data processing.

5. Cloud Engineer or Cloud Architect

Cloud professionals design, deploy and manage the infrastructure used to run applications, services and business systems.

They commonly work with platforms such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP).

A Cloud Engineer is generally more focused on implementing and maintaining cloud infrastructure, while a Cloud Architect usually works at a higher level, designing how different systems, services and resources should work together.

What should you study to work in cloud computing?

Common routes include:

• Computer Engineering

• Telecommunications Engineering

• Vocational training in systems and networks

• Specialised cloud computing courses

Useful technologies include:

Linux, networking, AWS, Azure, Google Cloud, Docker, Kubernetes, Terraform and cloud security.

Official certifications from AWS, Microsoft Azure and Google Cloud are also widely used to demonstrate knowledge of specific cloud environments.

6. DevOps Engineer and Kubernetes Specialist

DevOps professionals work at the intersection of software development and IT operations.

Their goal is to make the process of developing, deploying and maintaining applications faster, more automated and more reliable.

Their responsibilities may include:

• Creating CI/CD pipelines

• Managing containers

• Automating infrastructure

• Deploying applications

• Monitoring systems

• Managing cloud environments

What should you study to work in DevOps?

Possible routes include:

• Computer Engineering

• Vocational training in systems and networks

• DAM or DAW followed by further training in systems, infrastructure or cloud technologies

Some of the most useful technologies include:

Linux, Git, Docker, Kubernetes, CI/CD, GitLab, GitHub Actions, Terraform, Ansible and cloud platforms.

In DevOps, it is particularly important to combine an understanding of software development and systems administration.

7. IoT Specialist

Internet of Things (IoT) professionals work with connected devices, sensors and communication systems that collect information from the physical world and send it to digital platforms.

IoT technology is particularly relevant in areas such as:

• Industry

• Energy

• Agriculture

• Logistics

• Mobility

• Smart Cities

An IoT project can combine hardware, connectivity, cloud infrastructure, APIs and software development.

What should you study to work in IoT?

Relevant qualifications include:

• Computer Engineering

• Electronic Engineering

• Telecommunications Engineering

• Industrial Automation and Robotics

• Vocational training related to electronics, networking or computer systems

It is also useful to learn about:

Sensors, electronics, networking, MQTT, LoRaWAN, APIs, cloud platforms, programming and IoT platforms.

Which technology career is right for you?

You do not need to learn everything.

The most useful approach is to understand what kind of work you enjoy and then develop a specialisation around it.

If you enjoy building digital products and solving problems through code, software development may be a good fit.

If you prefer analysing information, identifying patterns and drawing conclusions, data-related roles may suit you better.

In cybersecurity, the focus is on protecting systems, identifying vulnerabilities and anticipating potential threats.

If you enjoy working with infrastructure, servers and automation, cloud computing or DevOps may be more aligned with your interests.

And if you are interested in combining software with physical devices, sensors and connectivity, IoT offers a particularly multidisciplinary career path.

These areas are not isolated from one another either.

A software developer can later specialise in cloud technologies. A systems administrator can move into DevOps. A developer can transition into Artificial Intelligence. And an IoT specialist may work with cloud, data and cybersecurity at the same time.

Technology careers are increasingly interconnected.

Frequently asked questions about technology careers in 2027

Which technology careers have strong prospects?

Artificial intelligence, cybersecurity, software development, data, cloud computing and IoT are some of the main areas in which companies continue to need specialised technical skills.

However, the best career path depends on your interests, skills and the type of work you would like to do.

Do I need a university degree to work in technology?

Many technology professionals enter the industry through vocational training, specialised courses, bootcamps, certifications or self-directed learning.

Practical knowledge, professional experience and the projects you can demonstrate are also important in many technical roles.

Which vocational training should I choose to work in technology?

Some of the most relevant options in Spain include:

• DAW: Web Application Development
• DAM: Cross-Platform Application Development
• ASIR: Network Systems Administration

From there, you can specialise further in areas such as software development, cloud computing, DevOps, cybersecurity or data.

What should I study to work in Artificial Intelligence?

A background in Computer Science, Data Science, Mathematics or Statistics can provide a strong foundation.

You can then specialise in areas such as Python, Machine Learning, Deep Learning, generative AI and language models.

Is learning programming still worth it in 2026 with Artificial Intelligence?

Yes.

AI tools can assist developers when writing and reviewing code, but software development still requires an understanding of architecture, databases, security, integrations, business logic, testing and maintenance.

Knowing how software works also makes it easier to use AI development tools effectively.

Would you like to work with us?

If one of these career paths sounds like a good fit for you and you would like to join a technology team, you can send us your CV.

At Purple Blob, we are interested in people who want to learn, contribute and continue developing their skills in areas such as software development, cloud computing, cybersecurity, data and IoT.

Send us your CV and tell us which area you would like to grow in.