Technology job skills that employers want

Posted 26 September 2020

According to a forecast from CompTIA, demand for roles in the digital technology sector has grown by 150% over the past four years.

Among the many factors that have driven recent growth is the increasing adoption of new and emerging technologies, from information security and risk to cloud computing, data management and mobile networking. The future for IT talent looks bright, with technology professionals in increasing demand. But which skills and expertise are employers looking for, to bridge skills gaps in their teams and grow their business?

Here are some of the most in-demand IT skills for technology professionals, by specialism.


DevOps refers to a combination of tools and practices that increases a company’s ability to deliver service at a faster pace, than the use of traditional software. DevOps speeds up processes which enables businesses to serve their customers more effectively.

Any new device or gadget requires a tech professional to write the code that makes it work - and with more businesses adopting DevOps, you won’t see a shortage of demand for DevOps engineers anytime soon. Besides coding knowledge, DevOps will be expected to have skills in infrastructure, scripting, and security, plus a range of soft skills such as decision making, flexibility and adaptability.

The key skills desirable to hiring professionals include:

  • AWS/GCP/Azure significant experience

  • Cloud Networking

  • Experience with containers, dockers and Kubernetes

  • Cloud provisioning frameworks such as Terraform, serverless frameworks as well as provisioning frameworks: Chef, Puppet, Ansible

  • Scripting programming languages and automation testing

  • Software engineering with knowledge of the popular programming languages within Python, JavaScript, ELT and ETL scripts

  • Monitoring, planning, and responding to problems by utilising DevOps practices and tools.

Traditionally, DevOps hiring leaned towards building a network of ‘I’ shaped professionals - teams of specialists with highly specific areas of technical expertise. In recent years however, more employers have been looking to hire ‘T’ shaped professionals, who come with the depth of experience in a particular DevOps field, but with working knowledge in other related practices. Therefore, when applying for a competitive DevOps role, it’s a good idea to include any additional areas of knowledge or interest, in addition to highlighting your core skillset and experience most relevant to the role you’re going for.

Business Intelligence and Data

In today’s digital landscape, huge amounts of data are continuously generated, every day we create 2.5 quintillion bytes of data. 90% of the world’s data has been created in the last two years alone, and this data must be used and interpreted, managed, stored, and kept secure. Almost every industry is gathering more data than ever before, and an increasing number of data specialists are required to handle and process this data.

According to LinkedIn statistics, the talent pool of professionals with data skills around the world has increased by 27% to 9 million since 2018. When refining your resume for a data management role, including the following skills or areas of knowledge may help get you shortlisted for an interview:

  • Statistics
  • Data extraction, transformation, and loading
  • Business Intelligence processing frameworks
  • Data wrangling and exploration
  • Data visualisation.

Information Security and Risk

The rising risks and costs associated with cybercrime have put cybersecurity measures at the forefront of many business operations. Strong security measures are vital for any company that collects customer personal data and securing the right talent and expertise is vital. A new Burning Glass study found that in the US, demand for information security and risk professionals is outstripping supply, and that the number of job postings in this field has grown by 94% in six years.

Machine Learning and Artificial Intelligence (AI)

Machine learning (ML) is one of the biggest emerging technologies creating digital transformations across a huge number of sectors, from healthcare to financial services, retail, and transportation. Most industries working with big data have recognised the value of machine learning technology; using ML to collect insights from this data makes companies able to work more efficiently or gain an edge over competitors.

While machine learning's ability to automate and evolve is significant, it still requires human operators to set parameters of operation, to provide context, and to continue improving the algorithms. Key skill areas include:

  • Data modelling
  • Software engineering with knowledge of the popular programming languages within ML - Python, R, Java, and C++
  • Statistics
  • Probability
  • Data science.

Technology professionals looking to pursue a career in AI should be able to demonstrate abilities such as problem-solving and an analytical thought process. Employers will also be looking for technical skills in the design, repair, and maintenance of software programs, along with the ability to translate highly technical information and to communicate effectively within a team.

Do you have the technology skills our clients are looking for? Search our latest tech jobs and connect with our consultants today.

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