A Guide To Your 2026 Data Hiring Strategy

Data is expanding rapidly. In fact, the volume of data stored globally is expected to roughly double every 4 years. Therefore, it isn’t surprising that many companies are struggling to manage the amount of data they are collecting, with more than 79% of small businesses storing at least 50 terabytes of data, which equivalates to approximately 65,000 filing cabinets worth of data.

Data offers substantial advantages to businesses, from improving business decisions and informing strategies, to providing material for AI algorithms. In light of this, businesses are looking into their own data reserves, and many are planning to invest heavily in recruiting key data talent in 2026.

In this guide to hiring data talent in 2026, we will outline:

• Why data skills are in demand
• The data roles and skillsets that will be in demand in 2026
• Whether employer branding is important to recruiting data talent
• How businesses can future-proof their data teams

Why are data skills in demand?

Once considered purely a back-office function, data is now seen as vital to business operations. This shift is partly due to the exponential rise of data available to businesses in the past few years, thanks to rapid advancements in technology.

Nowadays, data within businesses is generated from a wide range of sources, including the Internet of Things (IoT), machine-generated data, AI-generated content, and user-generated content from social media and other platforms. Businesses also collect key data through online forms, website cookies, and shopping activity on e-commerce sites.

Data experts are in high demand because data helps businesses:

• Make better business decisions – key insights from business intelligence (BI) tools analysing company data are successfully informing business decisions that are driving innovation and growth in many organisations.
• Improve AI outcomes – data helps to train and build AI tools and algorithms. Having structured and clean data means that organisations can implement AI tools that can provide accurate outcomes.

What data skills will be in demand in 2026?

One of the major challenges facing businesses currently, as they look to prioritise data and implement AI tools effectively, is dealing with unstructured and inconsistent data.

Statistics show that only 12% of companies say their data is ready for AI, with around 90% of all enterprise data (data generated by companies) considered unstructured. To combat this, businesses are investing in their data teams and hiring key data and AI talent.

Some of the main data skills in demand in 2026 will include:

• Data management – ensuring that data is consistent, accurate and accessible throughout its lifetime
• Data analysis – identifying trends and patterns in data that can inform business decisions
• Data engineering – building and maintaining data infrastructure and systems to ensure they are robust
• Data visualisation – creating easy-to-interpret insights for stakeholders
• Machine learning – understanding how to create and test AI algorithms within businesses

Some data teams in small businesses may only include 1 or 2 professionals. Therefore, for smaller businesses looking to implement a 2026 data hiring strategy, they will need to ensure that they have generalist data professionals with foundational knowledge in several key data skills.

Is employer brand important for employing data teams?

Improving employer branding should take a central part of any 2026 data hiring strategy. An employer brand is similar to an organisation’s brand; however, it is about their reputation as an employer, rather than a reflection of their products and services.

With companies facing increasing data skills gaps and key data professionals remaining in high demand, an effective employer brand will be vital next year. A clear employer brand can help boost a company’s reputation to potential candidates and increase their likelihood of appealing to professionals the organisation needs as part of their 2026 data hiring strategy.

Businesses can help to curate their employer brand to support their data hiring strategy through:

• Reviewing their Employee Value Proposition (EVP) and ensuring that it is competitive with similar businesses and competitors
• Raising the personal brand of the CEO and other C-suite executives in the organisation
• Investing in marketing their internal business culture through social media and reviewing job descriptions to make sure that they reflect this
• Attending industry events and publications as a thought-leader and openly discussing plans for their data strategy

How can businesses future-proof their data team?

In today’s digital landscape, data, technology and their uses within businesses are continuously evolving. This can make building a data team and planning for the future more challenging for organisations. Despite this, many companies are looking into making long-term investments in data, understanding the need to maximise on the opportunities data can provide now. Through recruiting for their data teams with scalability in mind, companies can match their data strategy with their company growth and future plans.

Businesses should consider the following 3 actions when planning their data hiring strategy in 2026:

• Create an effective workforce strategy

For organisations that are expecting to expand their data teams and secure several data professionals in 2026 and beyond, a data workforce strategy will help to prepare them for growth.

Leaders should be aware of the various tasks, responsibilities and planned projects their data team will need to meet over the next few years. This will help inform the workforce strategy on when permanent and contract data professionals will need to be hired to ensure the smooth continuation of the team.

Negating this important action could lead to problems. For example, hiring data professionals too fast could lead to redundancies, whilst taking too long to secure professionals could delay project rollouts.

An effective workforce strategy should be devised by an internal talent or HR team, potentially in collaboration with a recruitment agency, but most importantly, with the IT leadership team providing key insights into upcoming data projects and implementations.

• Prioritise data governance

Data governance is the process and policies that handle data. As companies continue to collect more data, they run the risk of increasing inefficiencies and even non-compliance with data regulation laws. By prioritising data governance, an organisation’s data capabilities can expand in a manageable way, without needing to hire specialists to manage data later on down the line.

As we enter 2026 and beyond, countries are increasingly looking into regulating data and AI more closely, making data governance vital to businesses.

• Implement a flexible infrastructure

The best way to make data teams that can adapt to future needs is for companies to implement a flexible infrastructure for their data ecosystem. This includes utilising cloud-based platforms or using a modular or event-based infrastructure that can expand or reduce without disrupting central existing systems. Extra flexibility can give organisations the scope to adapt to future needs and technological changes, while reducing complications for their data teams.

If your business is looking to create an effective data hiring strategy for 2026, VIQU IT is a data specialist recruitment agency that has the insights and knowledge to ensure you are able to hire the best. To get in contact with our team for more information, click here.