Which AI and data profiles are the most sought after in 2025?

Discover the most in-demand AI and data profiles in 2023, including key skills and market trends.

Save the date:
8/4/2025
8 min
No items found.
Logo de Mbit School
Por
MBIT DATA School

AI Market Trends and Demand in 2025

Are you thinking of taking the leap into the world of AI and data? This is definitely your time! The sector is experiencing an explosion of opportunities like we have never seen before.

Automation is no longer optional, it's essential

Look around you. That small coffee shop in your neighborhood now uses a chatbot to manage reservations, and your barber schedules appointments through an app that predicts how long your haircut will last. Automation has reached every corner.

Companies that haven't boarded this bandwagon are being left behind by leaps and bounds. And it's not just out of fashion — the numbers speak for themselves:

  • Organizations with automated processes report 25% more efficiency
  • 72% of companies that survived the pandemic accelerated their digital transformation
  • Data-based decisions generate 30% more profitability

What does this mean for you? An insatiable demand for professionals who understand these technologies and know how to implement them.

Where are the best opportunities? These sectors are leading the revolution

Health and Biotechnology: Did you know that some AI algorithms already detect skin cancer more accurately than experienced dermatologists? Personalized medicine is changing lives and needs experts like you.

Finances: Banks and insurers are competing fiercely for AI talent. From detecting fraud in real time to creating automated investment systems, the financial sector offers some of the most competitive salaries.

Retail and e-commerce: Amazon doesn't predict what you want to buy by chance. Behind it are entire teams of data scientists working to understand every click you make.

Industry 4.0: Smart factories are revolutionizing manufacturing. Imagine detecting that a machine is going to fail before it happens, saving millions in downtime. That's what industrial predictive models do.

Mobility: From autonomous cars to optimizing delivery routes, AI is redefining how we move.

Generative AI has changed all the rules of the game

Just a couple of years ago, no one would have imagined that we could generate photorealistic images by writing a simple description. Or that a language model could write functional code based on natural language instructions.

Generative AI (such as GPT-4, Midjourney, or DALL-E) isn't eliminating jobs as many feared. It's creating new specialized roles:

  • Prompt engineers (who earn up to 300€/hour in some cases)
  • Specialists in fine-tuning models
  • Generated content quality evaluators
  • Workflow designers that integrate humans and AI

This revolution is just beginning, and those who master these technologies will have an enormous competitive advantage.

The most requested (and highest paid!) profiles

Let's get to what you really want to know: which roles have the most future and the best salaries?

Data Engineers: The Invisible Architects of Success

Imagine building the most impressive skyscraper on sand foundations. That's trying to do AI without a good data infrastructure.

Data engineers are the architects who design and maintain systems that capture, process and deliver quality data. Without them, even the most sophisticated algorithm will fail.

What do you need to master?

  • Distributed processing systems such as Spark and Kafka
  • SQL and NoSQL databases (MongoDB, Cassandra)
  • Modern ETL tools (Airflow, dbt)
  • Containers and orchestration (Docker, Kubernetes)

Companies are willing to pay very well for these profiles because they know that they are the basis for everything else. And the best part: there is a chronic shortage of good data engineers.

Business Intelligence Analysts: The Translators from Data to Business

“We have mountains of data but we don't know what to do with them” - we hear this phrase constantly at MBIT School. This is where BI analysts shine.

These professionals turn numbers into actionable insights. Not only do they create beautiful dashboards, but they answer critical business questions:

  • Why are sales in this region falling?
  • What products should we promote to which customers?
  • Where are the bottlenecks in our processes?

Key tools:

  • Power BI and Tableau are still kings
  • SQL (absolutely essential)
  • Storytelling techniques with data
  • Basic knowledge of statistics

The analysis is no longer retrospective, but predictive. The best analysts don't just tell you what happened, but what's likely to happen and what you should do about it.

Machine Learning Specialists: Where the Magic Happens

If there is a star profile in this ecosystem, this is it. ML specialists design algorithms that learn from data to make predictions or make decisions.

The complexity of this field has exploded. It is no longer enough to know regressions and decision trees. Employers are looking for experience in:

  • Reinforcement learning (used in robots and autonomous systems)
  • Transformers and care architectures (the ChatGPT base)
  • Generative models (GANs, diffusion, etc.)
  • Learning techniques with little data (few-shot learning)

Pro-tip: Specialization makes the difference. A natural language processing (NLP) expert who specializes in legal systems will be much more in demand than a generalist.

Cloud Architects for AI: The Strategic Facilitators

Did you know that training a large AI model can cost hundreds of thousands of euros? Cloud architects who specialize in AI know how to optimize this investment.

These professionals design infrastructures that:

  • They automatically scale as needed (paying only what is necessary)
  • Distribute training across multiple GPUs or TPUs
  • They implement automated pipelines to update models
  • They keep data and models secure while complying with regulations

Cloud certifications with specialization in AI (AWS, Azure, Google Cloud) are extremely valued and open doors to roles with salaries that often exceed 70,000€ per year even for profiles with 2-3 years of experience.

Salaries, Perspectives and Key Skills

How much can you really earn?

We will be transparent with the numbers (based on real data from our graduates and the Spanish market):

Junior profiles (1-2 years old):

  • Data Analyst: 25,000-35,000 €
  • Data Engineer: 32,000-42,000€
  • Data Scientist/ML: 35,000-45,000€

3-5 year old profiles:

  • Senior Data Analyst: 45,000-55,000 €
  • Senior Data Engineer: 50,000-65,000 €
  • Senior Data Scientist/ML: 55,000-70,000 €
  • AI Solution Architect: 65,000-85,000 €

Leadership Roles:

  • Lead Data Scientist: 70,000-90,000 €
  • Director of AI: 90,000-120,000+

Remote work is balancing salaries globally. We have graduates working for foreign companies with salaries 30-40% higher than those in the local market.

“Soft skills” make a difference (and can double your salary!)

The biggest mistake we see in applicants to these roles is to focus exclusively on technical skills. The reality of the market is clear: two people with identical technical skills can have salaries that differ by 50% based on their soft skills.

The most rated:

Communication: Can you explain a complex model to someone in marketing? This ability is worth gold. Practice explaining technical concepts to non-technical friends.

Business thinking: It's not enough to create an accurate model. Do you understand how it generates value for the company? Professionals who connect technology with business objectives rise faster.

Multidisciplinary collaboration: Successful AI projects require working with diverse teams. Develop empathy and the ability to understand other perspectives.

Resilience and adaptability: The technologies you learn today may become obsolete in two years. What never goes out of style is the ability to constantly learn.

Certifications that really matter

Not all certifications have the same value. These are the ones that our business partners value the most:

  1. AWS Certified Machine Learning — Specialty or Google Professional Data Engineer: Demonstrate competence in real implementation at scale.
  2. TensorFlow or PyTorch certifications: Especially if they include practical components.
  3. Databricks Certified Associate/Professional: Highly rated for data engineering roles.
  4. Azure AI Engineer Associate: Excellent for Microsoft environments.

But be strategic: a certification without real projects to support it is like a sports car without an engine. It's impressive at first sight but it doesn't get you anywhere.

Ready to take the leap?

The field of Artificial Intelligence and data offers some of the most exciting and well-paying careers of our era. However, to access these opportunities, it is essential to have specialized and quality training. At MBIT School, the prestigious school in Artificial Intelligence and Deep Tech, we offer programs designed to transform your professional future:

Our programs are offered in person and online, adapted to your needs. We have a faculty composed of experts active in the market, and an employment exchange with an employability rate of more than 95%, serving as a bridge to your future company.

In addition, we offer the scholarship program DATA & AI WOMEN, intended to finance women's training at MBIT School, and promotions such as “Bring a friend”, where both get a 10% discount on tuition for our Expert and Master programs.

Don't miss the opportunity to train with the best and access the most demanded positions in the AI and data market. Visit our website for more information and start your professional transformation today.

No items found.
Great! Your request is already being processed. Soon you will have news.
Oops! Some kind of error has occurred.

AI Market Trends and Demand in 2025

Are you thinking of taking the leap into the world of AI and data? This is definitely your time! The sector is experiencing an explosion of opportunities like we have never seen before.

Automation is no longer optional, it's essential

Look around you. That small coffee shop in your neighborhood now uses a chatbot to manage reservations, and your barber schedules appointments through an app that predicts how long your haircut will last. Automation has reached every corner.

Companies that haven't boarded this bandwagon are being left behind by leaps and bounds. And it's not just out of fashion — the numbers speak for themselves:

  • Organizations with automated processes report 25% more efficiency
  • 72% of companies that survived the pandemic accelerated their digital transformation
  • Data-based decisions generate 30% more profitability

What does this mean for you? An insatiable demand for professionals who understand these technologies and know how to implement them.

Where are the best opportunities? These sectors are leading the revolution

Health and Biotechnology: Did you know that some AI algorithms already detect skin cancer more accurately than experienced dermatologists? Personalized medicine is changing lives and needs experts like you.

Finances: Banks and insurers are competing fiercely for AI talent. From detecting fraud in real time to creating automated investment systems, the financial sector offers some of the most competitive salaries.

Retail and e-commerce: Amazon doesn't predict what you want to buy by chance. Behind it are entire teams of data scientists working to understand every click you make.

Industry 4.0: Smart factories are revolutionizing manufacturing. Imagine detecting that a machine is going to fail before it happens, saving millions in downtime. That's what industrial predictive models do.

Mobility: From autonomous cars to optimizing delivery routes, AI is redefining how we move.

Generative AI has changed all the rules of the game

Just a couple of years ago, no one would have imagined that we could generate photorealistic images by writing a simple description. Or that a language model could write functional code based on natural language instructions.

Generative AI (such as GPT-4, Midjourney, or DALL-E) isn't eliminating jobs as many feared. It's creating new specialized roles:

  • Prompt engineers (who earn up to 300€/hour in some cases)
  • Specialists in fine-tuning models
  • Generated content quality evaluators
  • Workflow designers that integrate humans and AI

This revolution is just beginning, and those who master these technologies will have an enormous competitive advantage.

The most requested (and highest paid!) profiles

Let's get to what you really want to know: which roles have the most future and the best salaries?

Data Engineers: The Invisible Architects of Success

Imagine building the most impressive skyscraper on sand foundations. That's trying to do AI without a good data infrastructure.

Data engineers are the architects who design and maintain systems that capture, process and deliver quality data. Without them, even the most sophisticated algorithm will fail.

What do you need to master?

  • Distributed processing systems such as Spark and Kafka
  • SQL and NoSQL databases (MongoDB, Cassandra)
  • Modern ETL tools (Airflow, dbt)
  • Containers and orchestration (Docker, Kubernetes)

Companies are willing to pay very well for these profiles because they know that they are the basis for everything else. And the best part: there is a chronic shortage of good data engineers.

Business Intelligence Analysts: The Translators from Data to Business

“We have mountains of data but we don't know what to do with them” - we hear this phrase constantly at MBIT School. This is where BI analysts shine.

These professionals turn numbers into actionable insights. Not only do they create beautiful dashboards, but they answer critical business questions:

  • Why are sales in this region falling?
  • What products should we promote to which customers?
  • Where are the bottlenecks in our processes?

Key tools:

  • Power BI and Tableau are still kings
  • SQL (absolutely essential)
  • Storytelling techniques with data
  • Basic knowledge of statistics

The analysis is no longer retrospective, but predictive. The best analysts don't just tell you what happened, but what's likely to happen and what you should do about it.

Machine Learning Specialists: Where the Magic Happens

If there is a star profile in this ecosystem, this is it. ML specialists design algorithms that learn from data to make predictions or make decisions.

The complexity of this field has exploded. It is no longer enough to know regressions and decision trees. Employers are looking for experience in:

  • Reinforcement learning (used in robots and autonomous systems)
  • Transformers and care architectures (the ChatGPT base)
  • Generative models (GANs, diffusion, etc.)
  • Learning techniques with little data (few-shot learning)

Pro-tip: Specialization makes the difference. A natural language processing (NLP) expert who specializes in legal systems will be much more in demand than a generalist.

Cloud Architects for AI: The Strategic Facilitators

Did you know that training a large AI model can cost hundreds of thousands of euros? Cloud architects who specialize in AI know how to optimize this investment.

These professionals design infrastructures that:

  • They automatically scale as needed (paying only what is necessary)
  • Distribute training across multiple GPUs or TPUs
  • They implement automated pipelines to update models
  • They keep data and models secure while complying with regulations

Cloud certifications with specialization in AI (AWS, Azure, Google Cloud) are extremely valued and open doors to roles with salaries that often exceed 70,000€ per year even for profiles with 2-3 years of experience.

Salaries, Perspectives and Key Skills

How much can you really earn?

We will be transparent with the numbers (based on real data from our graduates and the Spanish market):

Junior profiles (1-2 years old):

  • Data Analyst: 25,000-35,000 €
  • Data Engineer: 32,000-42,000€
  • Data Scientist/ML: 35,000-45,000€

3-5 year old profiles:

  • Senior Data Analyst: 45,000-55,000 €
  • Senior Data Engineer: 50,000-65,000 €
  • Senior Data Scientist/ML: 55,000-70,000 €
  • AI Solution Architect: 65,000-85,000 €

Leadership Roles:

  • Lead Data Scientist: 70,000-90,000 €
  • Director of AI: 90,000-120,000+

Remote work is balancing salaries globally. We have graduates working for foreign companies with salaries 30-40% higher than those in the local market.

“Soft skills” make a difference (and can double your salary!)

The biggest mistake we see in applicants to these roles is to focus exclusively on technical skills. The reality of the market is clear: two people with identical technical skills can have salaries that differ by 50% based on their soft skills.

The most rated:

Communication: Can you explain a complex model to someone in marketing? This ability is worth gold. Practice explaining technical concepts to non-technical friends.

Business thinking: It's not enough to create an accurate model. Do you understand how it generates value for the company? Professionals who connect technology with business objectives rise faster.

Multidisciplinary collaboration: Successful AI projects require working with diverse teams. Develop empathy and the ability to understand other perspectives.

Resilience and adaptability: The technologies you learn today may become obsolete in two years. What never goes out of style is the ability to constantly learn.

Certifications that really matter

Not all certifications have the same value. These are the ones that our business partners value the most:

  1. AWS Certified Machine Learning — Specialty or Google Professional Data Engineer: Demonstrate competence in real implementation at scale.
  2. TensorFlow or PyTorch certifications: Especially if they include practical components.
  3. Databricks Certified Associate/Professional: Highly rated for data engineering roles.
  4. Azure AI Engineer Associate: Excellent for Microsoft environments.

But be strategic: a certification without real projects to support it is like a sports car without an engine. It's impressive at first sight but it doesn't get you anywhere.

Ready to take the leap?

The field of Artificial Intelligence and data offers some of the most exciting and well-paying careers of our era. However, to access these opportunities, it is essential to have specialized and quality training. At MBIT School, the prestigious school in Artificial Intelligence and Deep Tech, we offer programs designed to transform your professional future:

Our programs are offered in person and online, adapted to your needs. We have a faculty composed of experts active in the market, and an employment exchange with an employability rate of more than 95%, serving as a bridge to your future company.

In addition, we offer the scholarship program DATA & AI WOMEN, intended to finance women's training at MBIT School, and promotions such as “Bring a friend”, where both get a 10% discount on tuition for our Expert and Master programs.

Don't miss the opportunity to train with the best and access the most demanded positions in the AI and data market. Visit our website for more information and start your professional transformation today.

signup
Icono de Google Maps
Great! Your request is already being processed. Soon you will have news.
Oops! Some kind of error has occurred.

Related training itineraries

Have you been interested? Go much deeper and turn your career around. Industry professionals and an incredible community are waiting for you.

Master
Expert Program
Course
Artificial Intelligence

Become an expert in Artificial Intelligence applied to business and acquire the strategic and technical competencies to build state-of-the-art solutions

10 months
October 2024
Face-to-Face/Online
Master
Expert Program
Course
Advanced and Generative Artificial Intelligence

Become an expert in Artificial Intelligence applied to business and acquire the strategic and technical competencies to build state-of-the-art solutions

12 months
October 2024
Face-to-Face/Online
Master
Expert Program
Course
Data Science, Machine Learning & Strategic Analytics

Transform your career and your industry thanks to Data Science, becoming an expert in advanced analytics, visualization and the latest technological trends.

12 months
October 2024
Face-to-Face/Online