7 Hottest and Most In-Demand Jobs in IT Industry in 2024.
November 11th, 2022
Last Updated on November 11th, 2022
This text was fully written by humans.
SUMMARY / KEY TAKEAWAYS
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New branches of the IT industry, from blockchain, through cyber security, to cloud computing, are booming. Now more than ever, top-notch talent with highly specialized skills is sought after in the IT industry. But which talent?
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In this article, we review the top features of a good job, as well as the most in-demand types of specialists in today’s IT industry, listing their responsibilities and current salary standards. Comparing these roles is also a useful look at AI industry hiring practices explained, especially for anyone weighing how to transition into a tech career.
Table of Contents
- Job Market In IT Is Dynamically Changing.
- On The Hottest Sectors of IT Industry.
- What Are The Features of a Hot Job in the IT Industry?
- The 7 Hottest and Most In-Demand Jobs In IT Industry in 2023.
- Earnings Versus Safety.
- Building Self-Image While Looking For The Hottest and Most In-Demand Jobs.
- Last Words: How To Predict The Next Hottest and Most In-Demand Jobs in IT Industry?
Job Market In IT Is Dynamically Changing.
So, we’ve survived the rocky times of the global pandemic and are prepared for what lies ahead. The digital revolution had a massive impact on the job market throughout the preceding year, especially given recent progress in AI and machine learning. As a result, we explored this in depth in our articles “Galloping Progress in AI and Machine Learning: How Can It Influence Our Jobs?” and “How To Deal With AI as a Professional and as Business Owner.”
IT teams decentralized their workflows, moved fully online, and opened their doors to international talent. That shift says a lot about tech company culture and career growth today, and it has reshaped tech industry career paths for career changers coming from outside IT. In addition, all businesses had to accept this shift in the job market. These changes also reflect broader tech industry talent acquisition trends, along with how the AI industry is changing hiring across nearly every specialization. As a result, opportunities opened up across many IT niches, and fields such as blockchain, cybersecurity, and cloud computing are now booming. These booming niches are a direct product of tech industry talent acquisition trends, as well as how the AI industry is changing hiring across the sector.
Now more than ever, the IT industry seeks top-notch talent with highly specialized skills. But which talent? Moreover, it’s not even all about sitting behind a desk. With an industrial background, there are in-demand jobs in process automation and the automotive industry. For instance, many roles now involve working with external tools like an air compressor.
On The Hottest Sectors of IT Industry.
Just as always, various branches of the IT industry are developing at various speeds. Additionally, faster growth creates more space for new specialists in the field. As a result, there’s more room for you too, even as the new kid on the block.
But how can you tell whether an area that interests you is genuinely promising? Furthermore, one good indicator is tracking venture funding trends.
The concept is simple: the more venture funding flows into a discipline, the more research and development it attracts. Consequently, we can expect more growth in that field over the next three to five years.
So, what does the data tell us about the interests of major Venture Capital firms today? According to Forbes, the total amount of VC investment in 2022 has dropped compared to previous years. But, the top backed sectors stay the same: AI, machine learning, biotech, space-tech, blockchain, web3, and agri-tech.
What Are The Features of a Hot Job in the IT Industry?
In this article, we list 7 IT specializations that have been on the rise over the past two years. Moreover, they are not going anywhere any time soon. All these options combine three fundamental features of an attractive career track:
1. Multiple Options for Professional Growth.
Joining a fast-growing, competitive sector always gives a first-mover advantage. If you jump in early as a professional, you’ll witness the emergence of new trends and new professions in your field. In addition, you’ll stay on top of technological development in your sector.
2. An Opportunity To Work With and Learn From Inspiring People.
New sectors of the IT industry tackle new societal challenges. Also, these challenges attract thousands and thousands of interesting people: visionaries, futurists, top-notch experts, and real builders.
Yes, working in a developing industry can be hectic. However, that cost is usually worth paying, given the adventure and joy of working with inspiring people.
3. High Pay.
At the end of the day, this is the only objective and quantifiable fact about a job. Similarly, regardless of other factors, you cannot afford to get it wrong during the recruitment process.
During the interview, you might hear that the company shares your vision of what a healthy, stimulating working environment looks like. However, you may later discover that the recruiter actually had a different vision than you.
But salary is a number. In fact, if you get that number right, you can fully focus on developing as a professional without worrying about tomorrow.
Overlooking the salary aspect might leave you feeling dissatisfied with your job overall. Specifically, don’t be the one who says, “I wish I could flex my finances.”
The 7 Hottest and Most In-Demand Jobs In IT Industry in 2023.
Now, let’s briefly go through the seven most in-demand types of specialists in today’s IT industry. In addition, of course, each one of them requires prior training. Specifically, gaining skills in programming is the most important part of this professional preparation.
We listed the 5 most versatile programming languages in the article “Top 5 Most In-Demand Programming Languages in the Today’s Job Market.”
We also explained how to best make a choice between the frontend and the backend web development in the article “Frontend or Backend Web Developer? How To Make the Right Choice?“
1. AI Game Programmer.
How do you construct a functional video game that is engaging, immersive, and keeps you excited? Moreover, today, this is done with the use of AI.
AI game programmers work out the logic behind video games and the behavior of game characters and objects. Additionally, this covers everything from pathfinding, through steering and planning, to state machines, behavior trees, and more. As a result, players get a more realistic and immersive gaming experience at the right level of difficulty.
For instance, to make Grand Theft Auto V (GTA V) hyper-realistic, Intel used tons of machine learning algorithms. Furthermore, another textbook example of how AI is woven into a game’s storyline is Red Dead Redemption. Also, it was produced by the same studio, Rockstar Games.
There is an ongoing debate about which of these two games is better, and why. Indeed, both have developed a cult following.
AI game programming is also often used alongside classic storytelling, building narration through quests and a multi-layer screenplay or decision tree created by a human team. For example, this approach was used successfully in the Witcher 3: The Wild Hunt by CD Projekt Red (a screenplay managed by a German senior quest designer, Philipp Weber)
AI Game Programmer is an interesting profession, as it combines a passion for games with building skills in AI and machine learning. Do you have a background in statistics, mathematics, computer science, or machine learning, along with a passion for gaming? Then this profession is worth considering.
Responsibilities.
- Throughout the project, brainstorming AI solutions with designers, animators, and developers,
- Creating procedures for game design and documentation,
- Creating testable prototypes of the game,
- Designing game dynamics that may improve the gaming experience,
- Adding and testing new features to the game by writing customized code and AI tools,
- Testing user experience of new features by communicating with users, usually using the scrum workflow (please read more about scrum in our article “The Basics of Project Management 1.0.1. Key Concepts: Agile, Kanban, Scrum, Waterfall”).
Average Salary.
Companies used to compensate AI programmers the same way as game programmers. According to Glassdoor and Indeed, an AI programmer’s average annual income is in the range of $49,000–$85,000.
How To Start.
The following Skillshare courses will help you build a solid foundation in AI game programming:
1. Artificial Intelligence for Beginners: Tools to Learn Machine Learning.
What do “artificial intelligence” and “machine learning” mean? Similarly, at this course, you will learn the conceptual basics of machine learning and AI. In turn, this will help you understand the field’s pivotal methods and trends.
2. Demystifying Artificial Intelligence: Understanding Machine Learning.
Machine Learning — what it is, what it isn’t, and how we all interact with it every day. In fact, join product developer and keynote speaker Christian Heilmann for a free tour of machine learning. Specifically, he covers everything from how we use it today to where it’s headed in the future.
You will learn the ins and outs of how machines process our data, find patterns, and make our lives easier every day. In addition, there’s a focus on how machine learning can power human interfaces and ease our interactions with technology. Moreover, the lessons are packed with tools and tips for developers, designers, and the curious-minded.
2. Cloud Engineer.
Many businesses and organizations migrate their data to the cloud, enabling remote access to their apps, data, and systems. In practice, cloud engineers manage this process. Moreover, a cloud engineer is responsible for the organization’s cloud infrastructure design, maintenance, and management.
A cloud engineer must have deep knowledge of software development and scripting languages. In addition, broad experience with cloud-based web design services—such as Amazon Web Services—is essential. Additionally, no wonder cloud engineering is one of the top best-paying jobs in IT!
But to excel as a cloud engineer, it’s essential to build a strong foundation in cloud infrastructure and management. For example, an advanced certificate in IT can provide specialized training in areas like cloud architecture, virtualization, and systems integration. However, you will need to get specialized training to take this career path. So, this certification enhances your understanding of cloud platforms like AWS. Furthermore, it makes you a valuable asset in the rapidly growing cloud engineering field.
Responsibilities.
- Developing and maintaining cloud systems under specific requirements,
- Managing and upgrading existing systems on a daily basis, usually in an agile way (please read more in our article “The Basics of Project Management 1.0.1. Key Concepts: Agile, Kanban, Scrum, Waterfall”)
- Creating, developing, and deploying cloud-based modular systems,
- Training teams within the company on the ways to use new cloud technologies and initiatives.
Average Salary.
According to the Economic Research Institute, the average income for a cloud engineer in the Netherlands is €72,241. Furthermore, this includes an average hourly rate of €35/hr and an average bonus of €3,128.
How To Start.
The “Azure Data Factory Essentials Training” course available at Skillshare will help you learn the basics of cloud computing and big data management.
3. Data Scientist / Big Data Specialist.
Big data specialists and data scientists acquire and analyze enormous organized and unstructured data sets. Also, a data analyst’s job is a combination between computer science, mathematics, and statistics.
According to the U.S. Bureau of Labor Statistics, computer and information technology occupations carry a median annual wage of $109,470 — more than double the median for all occupations — and are projected to keep growing faster than average, generating about 280,000 openings each year.
In short, data scientists evaluate the outcomes of processing, data analysis, and modeling. Similarly, the goal is to produce actionable plans for businesses and other organizations.
There is more than just one type of Data Scientist in fact: we can talk about at least two types.
Data Scientist of Type 1: Designer of New Analytic Methods.
Of course, Data Science is an open-ended problem, and people create new methods for data analysis every day. Do you have a strong analytical mind, a solid background in mathematics and/or programming, and a sweet tooth for designing new analytical solutions? Then you might choose to become a creator of new algorithms.
The work of a “Data Scientist of Type 1” often goes beyond algorithms. It can even end with proving new theorems or designing new estimates, and it might even lead to a peer-reviewed research publication.
Especially large IT firms seek such people, as new protocols and algorithms are the fundaments of large-scale innovation. In fact, of course, this is a challenging path and only the best Data Scientists can follow this one. Yet, it is also extremely rewarding to discover new methods and watch others apply your methods and cite your work.
Data Scientist of Type 2: Designer of New Products and Services.
The second type of Data Scientist relates to those who apply established methods but in new applications, or in new combinations. Specifically, for these applied Data Scientists, the challenge lies in finding the right combination of models and existing methods. In other words, they must either solve a new problem or find a new solution to an existing problem.
The work of a “Data Scientist of Type 2” often goes beyond algorithms and has much to do with Business Intelligence. In addition, it’s no surprise that the job market highly desires these Data Scientists today.
Please read more about the job of a Data Scientist and tips for how to become one in our article “5 Steps To Build a Career in Data Science and Land Top Data Science Jobs in 2023.”
Responsibilities.
- Responding to challenging data-related questions using machine learning and statistics,
- Creating algorithms and experiments to merge, manage, analyze, and extract data to produce customized reports to colleagues, customers, or the whole business,
- Conducting research to develop new prototypes and proofs-of-concept,
- Looking for new strategies to use the existing insights/datasets/code/models in other parts of the enterprise (for example, transferring methods from the R&D department to the HR and marketing departments),
- Close collaboration with the company to find problems and suggest solutions supported by data for better business decision-making.
Average Salary.
In Data Science, various criteria determine salaries, including your education, experience, location, and industry sector. Moreover, according to European Leadership University, senior data scientists can expect solid pay across Europe. For example, salaries range from €67,428 in France and €80,300 in Germany to €90,500 in the Netherlands and €87,575 in the UK.
How To Start.
The following Skillshare courses that will allow you to build a solid base of skills in data science and machine learning (using Python):
1. Think Like a Data Scientist! – The No-Code Data Science Masterclass.
This class will teach you the core concepts of data science, delivering a high-level understanding of key ideas and vocabulary. As a result, you’ll be equipped to work with and manage data scientists. Additionally, the goal is to enable data-driven decisions as well as introduce the data-curious to data science.
2. Data Science and Machine Learning With Python – Hands On!
A fun course that will show you that data science is not just about well-paid jobs – it’s exciting work too!
4. Blockchain Developer.
Blockchain development is trendy — no question about that! Furthermore, the blockchain industry is one of the fastest-growing branches of the IT industry.
Today, blockchain technology is no longer limited to making digital payments. It serves a variety of industries, for example, to:
- Build decentralized internet (also known as web3),
- Secure records of patient data,
- Collect records of land and property ownership in real estate,
- Publish public certificates in education,
- Tokenize all kinds of assets from art to real estate,
- Eliminate money laundering in finance,
- Prevention ballot duplication to ensure accuracy in voting,
- Track assets on their journey from vendors to customers.
Similarly to data science, in the blockchain industry we can talk about two groups of developers.
The first group consists of designers of new blockchain protocols and architectures. Also, this fundamental blockchain development requires a deep understanding of cryptography, computer science, game theory, and sometimes even economics.
Today, developers are working on far more than just Proof of Work or Proof of Stake. In fact, hundreds of other blockchain consensus mechanisms are in development, some of them reviewed here.
The second group of blockchain developers designs blockchain applications instead. Similarly, this is a sort of applied blockchain development that mostly requires programming skills and business intelligence. As a result, there’s no need to dive deep into the structure and philosophy behind the blockchain itself.
Responsibilities.
- Integrating new tools and technology to optimize and secure blockchain applications,
- Documenting blockchain development methods and adjusting them to data security best practices,
- Implementing the latest standards in blockchain and cryptography,
- Creating the documentation for team members and users,
- Designing new blockchain-based applications (if you are an applied blockchain developer),
- Designing new blockchain architectures (if you are a fundamental blockchain developer).
Average Salary.
According to SalaryExplorer, a blockchain developer typically earns between €41,800 and €66,000 per year. In fact, this range applies to France and other Northern and Western European countries.
5. Cybersecurity Specialist.
According to official projections, cyber attacks will cost the global economy over $10 trillion annually by 2025. Specifically, hacking has reached new heights, and along with the development of quantum computing, is becoming increasingly powerful.
No wonder businesses today make massive investments in cybersecurity. In addition, this protects their own IP and infrastructure, as well as the data and assets of their clients.
A Cyber Security Specialist is responsible for maintaining security during the development of software systems, networks, and data centers.
Cyber Security Specialists search for weaknesses and dangers in both hardware and software. Moreover, they are responsible for monitoring and preventing any attacks or incursions in the network. Additionally, they must notice potential threats, vulnerabilities, or attempted intrusions, and build firewalls against any potential hacker attacks.
Responsibilities.
- Integrating firewalls into network architecture and networks,
- Identifying malicious activity and, if required, consult the police,
- Testing hardware and software for vulnerabilities and increasing its security,
- Updating the security systems to the newest standards.
Average Salary.
According to the Economic Research Institute, a cybersecurity specialist in Belgium and Western Europe typically earns around €83,338 per annum. In addition, they receive an average bonus of €3,559. Furthermore, the average hourly wage in Europe is €40 right now.
6. DevOps Engineer.
Many consider DevOps engineers the backbone of any software company. Also, devOps Engineers build processes, procedures, tools, and methods to maintain the software development life cycle. Similarly, this spans everything from coding, through tool deployment and integrated testing, to maintenance and upgrades.
They need to be all-rounded professionals who can handle both the technical and management aspects of projects. In fact, they also need to be cognitively flexible and fluent in agile development. Specifically, please find more details on agile development in our article “The Basics of Project Management 1.0.1. Key Concepts: Agile, Kanban, Scrum, Waterfall.”
Responsibilities.
The DevOps engineer’s responsibilities are very broad, including the following:
- Implementing a range of development, testing, automation, and IT infrastructure tools,
- Developing the test, release, update, and support procedures,
- Organizing the team’s structure, activity, and participation in project management tasks,
- Continuous improvement; building the CI/CD pipeline (continuous integration, continuous development, and constant deployment),
- Collaboration and communication within and across teams, and with consumers.
Average Salary.
DevOps Engineer is probably the best-paying profession in IT. In addition, according to Glassdoor and Builtin users, the average base pay of a DevOp engineer is between $105,017 and $126,301 per year.
7. Quantitative Analyst.
The recognition of electronic trading-supported numerical algorithms has exploded within the 21st century. Traders no longer run around the New York Stock Exchange (NYSE) shouting buy and sell orders.
Today, computer software infiltrates multiple stock exchanges, buying and selling shares when prices reach predetermined profit levels. Moreover, this is why quantitative analysts are in high demand within the trading sector.
A quantitative analyst applies mathematical models and statistics to finance-related problems. In short, quantitative analysts try to predict future events based on past events.
Additionally, based on the available data, they develop models to make better financial and business decisions. Furthermore, this ranges from investment choices and pricing to risk management.
Responsibilities.
- Building models that will serve to better evaluate risk (for example actuary models) or make educated investment guesses that give the probability of success higher than 50%,
- Involved in business intelligence systems within the company and developing new procedures and decision trees based on historical scenarios and their outcomes.
Average Salary.
A quantitative analyst is one of the best-paying jobs in IT. Also, according to Glassdoor, the mean salary of a quantitative analyst within the US is $99,929 per year.
Earnings Versus Safety.
When looking for your next job, it’s best to take a 360-degree approach. In other words, weigh not only the salaries, but also the current and possible future demand.
For instance, all the aforementioned professions pay well and attract plenty of interest today. However, none of them ranks among the top ten positions with the lowest unemployment rate.
In the near future, ChatGPT and other chatbots will likely become better at programming. As a result, the demand for new developers might decrease, while the demand for more “traditional” professionals will hold.
Building Self-Image While Looking For The Hottest and Most In-Demand Jobs.
Are you looking for your dream job in the hottest, most in-demand professions? Similarly, if so, make sure you build an impeccable online image. Understanding AI industry hiring practices explained can help you position yourself well, particularly if you are exploring how to transition into a tech career from a different field.
Mind that your income will not grow linearly, but rather, exponentially. This pattern is closely tied to tech company culture and career growth, and it is one more reason tech industry career paths for career changers are becoming more common. At first, you will need to acquire a minimum viable set of skills necessary to do the job.
Then, you will slowly polish your skillset towards proficiency. But your income will start growing exponentially only when you become an expert. Additionally, you must develop a personal brand around your skills.
Please check out our tutorials “5 Rules for How To Make Social Media Benefit Your Career” and “10 Steps to Create an Effective LinkedIn Profile in 2023” for building a strong LinkedIn presence.
Last Words: How To Predict The Next Hottest and Most In-Demand Jobs in IT Industry?
Some of these professions sound very attractive, but training takes years. Before I gain enough knowledge and experience, the market for my dream profession might already get saturated.
What can you do then? As a rule of thumb, observe the market closely.
You can predict fairly well which professions will boom next. In fact, just watch how much Venture Capital money currently flows into specific sectors.
For instance, in 2022 a record amount of Venture Capital money flowed into blockchain and Metaverse. Therefore, we can project growing demand over the next few years. Specifically, blockchain developers and AI game programmers will be in high demand.
Find more predictions on the future of the job market in times of AI. Specifically, you can find them in Natalia Bielczyk’s lecture “Are we Doomed? AI and Your Job.”
Good luck with your career plans! And don’t hesitate to contact us if you’re planning to change your career track and start a new professional adventure.
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At this intensive online training, you will focus on discovering your identity as a professional, and learn effective career development strategies for landing great jobs.
We will help you choose the right career path, assist you in landing your new job, and teach you self-navigation strategies that will guarantee your success in professional development, and serve you for a lifetime!
Please find all the information about our incoming, game-changing program here:
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