Computer engineering and software: careers with the most opportunities in 2027

Technology continues to expand its weight in the Spanish labor market. Software development, artificial intelligence, data, cybersecurity, and Cloud infrastructures are part of transformation processes that affect practically all sectors. This evolution increases the value of professionals capable of designing, developing, and maintaining the technological systems on which organizations operate.

In this context, Computer Engineering and Software Engineering reach 2027 with particularly favorable employability prospects. The report University degrees with the highest employability in Spain 2026-2027, prepared by the CEU San Pablo University Chair and The Adecco Group, places both degrees among the careers with the highest professional output in Spain. The study gathers the perceptions of over 2,000 university students and more than 600 companies.

This position is related to a broader transformation of the labor market. Organizations need professionals capable of developing digital products, managing data, deploying infrastructure, automating processes, protecting systems, and applying artificial intelligence. For new professionals, this evolution multiplies the possibilities for specialization. For organizations, it increases competition for certain technological profiles.

Computer engineering and software engineering lead employability

The results of the CEU San Pablo and The Adecco Group study are particularly significant because they capture both the perceptions of students and those of organizations that hire professionals.

Among the surveyed university students, Computer Engineering achieves a 65.4% rating in employability, and Software Engineering achieves 59.5%. Among companies, the percentages are 62.8% and 59.3%, respectively. Telecommunications Engineering also occupies a prominent position for employers, with 51.1%.

The attractiveness of these degrees is related to the diversity of functions that their graduates can assume. A computer science education can lead to application development, software architecture, data engineering, Cloud, DevOps, artificial intelligence, cybersecurity, databases, or technological infrastructure.

This breadth provides a flexible professional foundation. The specialization chosen during the first years of experience can considerably modify the type of projects, technologies, and responsibilities that each professional evolves toward.

Why the demand for technological professionals is increasing

Business digitalization continues to expand the number of systems that require specialized professionals to develop and maintain them. The document notes that in 2026, 46.7% of companies in the European Union use Cloud Computing services, 39.9% employ data analytics, and nearly 20% have adopted artificial intelligence. It also indicates a 48% growth in business adoption of AI during 2025.

Each technology introduces different needs. Adopting Cloud involves working on infrastructure, architecture, security, and automation. Utilizing data at an enterprise scale requires pipelines, storage, governance, and analytics. Incorporating artificial intelligence adds models, data, infrastructure, and integration capabilities with existing applications.

The result is a progressively specialized technological market. One organization may need to strengthen its Backend development team, while another focuses its investments on data, automation, or infrastructure. Demand is distributed among different specialties depending on the architecture, product, and transformation phase of each business.

Computer engineering and software engineering: professional differences

Both degrees share an important technological foundation and can lead to numerous similar positions. The differences primarily appear in the educational focus and the weight that certain disciplines acquire within each university program.

Understanding this relationship is especially useful for students who are still deciding on their education. It also helps interpret why professionals from both degrees may end up working together within the same software teams.

What characterizes computer engineering

Computer Engineering typically offers a broad view of computing. Depending on the university program, it may delve into algorithms, operating systems, networks, databases, computer architecture, software engineering, security, and distributed systems.

This breadth subsequently facilitates specialization in different areas of the tech sector. A graduate can direct their career toward development, systems, data, Cloud, security, or architecture depending on the competencies they continue to develop.

The degree thus provides foundations that can be applied across different layers of a technological infrastructure, something particularly relevant in a market where specializations continue to evolve.

What characterizes software engineering

Software Engineering concentrates a larger part of its training on the application lifecycle. Design, architecture, development, testing, maintenance, quality, and project management gain special relevance within this focus.

Its graduates may start working directly on development and subsequently evolve toward responsibilities in architecture, technical leadership, or platform engineering.

The professional boundaries with Computer Engineering are permeable. Experience, technical specialization, and the projects developed end up having considerable weight in each professional's trajectory, so both degrees can lead to similar positions.

The technological areas with the best employment prospects

The SEPE Occupations Observatory identifies information and communications as one of the most dynamic sectors linked to digitalization. Among the ICT occupations with good prospects are software and web developers, ICT engineers, data analysts, artificial intelligence specialists, and cybersecurity experts.

This diversity allows graduates to build considerably different careers starting from related training. Software development continues to be one of the main professional paths, while Cloud, Data, DevOps, architecture, Machine Learning, infrastructure, and security expand specialization possibilities.

The choice will depend on both market evolution and each professional's technical capabilities and interests. Some positions require a deeper mathematical foundation; others are particularly related to programming, distributed systems, architecture, or infrastructure.

Software development

Software supports an increasing part of business operations. Internal applications, SaaS platforms, e-commerce, digital banking, industrial systems, and public services require teams capable of building and evolving applications over long periods.

Within software development, there are different professional paths depending on the layer and technical scope:

• Frontend Developers: work on interfaces and digital experience.

• Backend Developers: develop business logic, services, and integrations.

• Full Stack Developers: can intervene in different layers of an application.

With experience come positions such as Senior Developer, Tech Lead, or Software Architect. The document also notes that the SEPE includes software developers among the occupations with the best prospects and highlights difficulties in covering positions for programmers, systems analysts, and software analysts and designers.

Cloud and DevOps

Modern applications require infrastructure capable of supporting frequent deployments, scalability, availability, and observability. The growth of Cloud environments has created a professional layer that connects development, systems, and operations.

Cloud Engineers may participate in the design and management of infrastructure, while DevOps Engineers work especially on automation, integration, and continuous delivery, containers, observability, and infrastructure as code.

In more complex projects, responsibilities related to Cloud architecture, internal platforms, and Site Reliability Engineering arise. The SEPE's analysis of training needs included technologies related to Azure, AWS, Kubernetes, artificial intelligence, Machine Learning, TypeScript, programming languages, and ICT systems integration.

Data and artificial intelligence

The growth of artificial intelligence directly depends on organizations' ability to store, process, and utilize their data. This generates professional opportunities at different stages of the analytical architecture.

Data Engineers build pipelines and infrastructure to move and transform information. Business Intelligence professionals convert data into indicators and reporting systems. Machine Learning specialists develop models capable of learning patterns and making predictions.

Artificial intelligence profiles work in an even broader field that can include generative models, language processing, computer vision, and intelligent automation. These specializations also need to integrate with applications, APIs, Cloud infrastructure, and corporate systems.

Cybersecurity

The expansion of digital systems also increases the technological surface that must be protected. Applications, identities, devices, networks, APIs, Cloud services, and data require security controls adapted to progressively distributed architectures.

Cybersecurity specialists can direct their careers toward application security, infrastructure, Cloud security, identity management, vulnerability analysis, incident response, or security governance.

The SEPE includes this specialization among the ICT occupations with good prospects and also identifies difficulties in covering certain positions related to networks, systems, and databases. A solid education in systems, networks, and programming provides a particularly useful foundation for evolving within these areas.

From university degree to specialized technological profile

The university degree provides foundations, but technological employability is also built through specialization and practical experience. Two graduates from the same degree can develop completely different profiles a few years after finishing their studies.

The following relationship allows us to observe how an initial education can evolve toward different specialties and which competencies acquire greater relevance in each:

The table reflects an important characteristic of the technological market: the same initial training allows advancement into very different professional fields. Specialization may begin during university, but it is consolidated through projects, early work experiences, certifications, and exposure to real architectures.

What will determine technological employability in the coming years

Professional prospects depend on market demand, but also on professionals' ability to update their skills. The technology sector changes quickly enough that a specialization acquired at the start of a career may need to evolve later on.

This situation also affects organizations. Evaluating technological talent requires observing education, practical experience, knowledge of architectures, and adaptability to new tools, especially in positions where the technologies used evolve rapidly.

Technical skills evolve throughout the career

Languages, frameworks, and platforms change as new development practices and infrastructure models emerge. This makes continuous learning a structural part of many technological careers.

The SEPE identifies skill gaps as one of the factors related to certain hard-to-fill vacancies. Its studies on training needs highlight demand for knowledge linked to programming, web development, artificial intelligence, Machine Learning, systems, Cloud, Kubernetes, and technological integration.

For professionals, this evolution requires keeping knowledge updated and developing experience with real systems. For organizations, it involves valuing both current technical ability and how easily a candidate can adapt to new architectures and tools.

Europe still needs more ICT specialists

The shortage of technological talent extends beyond Spain. The document notes that in 2025, there were approximately 10.4 million ICT specialists working in the European Union, around 5% of total employment, while the European goal for 2030 is to reach at least 20 million specialists.

The gap between these figures helps explain why developing digital skills remains strategic. At the same time, the business adoption of Cloud, data, and artificial intelligence increases the need for professionals capable of converting technological investment into functional systems.

The European Commission also recognizes significant shortages of ICT specialists and barriers related to skills, infrastructure, data, and resources for certain companies to adopt advanced technologies.

A favorable but progressively specialized market

The prospects for 2027 are part of a transformation that is already underway. The document notes that the SEPE projects job creation in Spain for 2026-2028 and places information technologies among the sectors with good prospects, although it also anticipates a shortage of qualified labor and mismatches between available skills and business needs.

Computer Engineering and Software Engineering start from a favorable position because they provide access to numerous areas linked to this transformation. However, specialization, practical experience, and understanding of real architectures will gain weight as technological positions require more specific skills.

This evolution also affects hiring processes. Defining a vacancy solely by a degree or a generic title may prove insufficient when the project requires specific experience with certain technologies, responsibilities, or architectures.

What this evolution means for companies

The high employability of technological careers has a second reading from the business perspective. Increased demand for specialized professionals raises competition for certain profiles and can prolong selection processes when technical requirements are specific.

The document highlights difficulties in covering profiles such as programmers, systems analysts, software designers, and specialists related to databases and networks. This situation necessitates defining more precisely what knowledge each project truly requires.

The talent strategy can combine permanent hiring with flexible models when the organization needs to increase capacity, incorporate specific specialization, or respond to a project with temporary needs.

The challenge of finding specialized technological talent

An excessively generic search may attract professionals with adequate training but insufficient experience in the stack, architecture, or specific responsibilities of the position.

Before starting the selection process, it is advisable to identify which part of the knowledge can be acquired during onboarding and which competencies the professional needs to bring from their start. This distinction allows for expanding the number of potential candidates without lowering the requirements that truly condition the project.

It is also relevant to analyze seniority and autonomy. Two developers working with the same technology may bring very different levels of capability to design solutions, resolve issues, or make architectural decisions.

When to expand the team with external talent

Permanently hiring is appropriate when there is a stable need and the organization wants to maintain that capacity within its structure for years. External models become more relevant when the project requires incorporating professionals more quickly, covering a specific specialization, or temporarily increasing available capacity.

Through IT Outsourcing services, an organization can incorporate professionals based on stack, architecture, seniority, and project needs. The model can complement the internal team when technological demand temporarily exceeds its capacity or when finding certain specializations through direct hiring takes more time.

The choice should consider the duration of the need, the importance of internal knowledge, talent availability, and the required speed. These factors help determine which capacity should be built permanently and which can be incorporated through a more flexible model.

Computer engineering and software will continue to open opportunities in 2027

The indicators collected in the document place Computer Engineering and Software Engineering in a prominent position for the labor market in 2027. Both degrees connect directly with areas where technological investment continues to grow and where there are needs for specialized professionals.

Software development, Cloud, DevOps, Data, artificial intelligence, and cybersecurity offer different professional paths. University education provides the foundations to access these areas, while practical experience and subsequent specialization determine the functions each professional can evolve toward.

For organizations, having access to this talent conditions their ability to execute technological projects and expand teams when the roadmap changes. If your company needs to incorporate a specific specialization or increase its development capacity, you can schedule a call with lateam to analyze the profiles and the most suitable incorporation model.