Organisations are generating and using more data than ever, turning information into a key driver of decision-making and innovation. This is creating demand for technology professionals who can manage complex systems, optimise workflows, and translate datasets into actionable insights.
Beyond technical skills, roles in this field require problem-solving, strategic thinking, and business awareness. With the global data analytics market projected to reach USD 658.64 billion by 2034, individuals who focus on cloud architecture, AI, real-time processing, and data governance and enable companies to modernise systems and improve operational efficiency, will be in high demand.
Key data-in-demand data roles in 2026
1. Data Engineer
Data Engineers are sought after globally across a wide range of sectors, as virtually all companies now rely heavily on data for decision-making and product development. Technology and e-commerce, fintech, healthcare and life sciences, media, manufacturing and retail are amongst the sectors currently hiring Data Engineers. In 2026, expertise in SQL, Python, and Spark, along with experience on cloud platforms such as AWS, Azure, or Google Cloud, will be highly valued. Knowledge of MLOps, cloud architecture, and real-time data processing will also help drive success in AI-driven projects.
4. Data Architect
Modern data environments require frameworks that are scalable, secure, and aligned with business goals. Data Architects design these structures, enabling companies to store, access, and manage information efficiently. These technology experts are especially in high demand in technology, finance, and government sectors. They lead enterprise-wide modernisation projects, ensuring systems operate reliably while supporting strategic objectives. Expertise in data modelling and integration will be a competitive edge for Data Architect candidates, as these are essential to create robust, future-ready ecosystems.
2. Data Scientist
Data Scientists analyse complex datasets to uncover trends and guide business decisions. They apply statistical techniques, machine learning, and data visualisation tools such as Python, R, Tableau, or Power BI. Technology and IT sector relies on Data Scientists for product development, customer behavior prediction, and service personalisation. Finance and banking firms are looking for professionals with experience in fraud detection, risk management, identifying revenue opportunities, and creating predictive models. Across the board, their work often focuses on predictive modelling, customer analytics, and personalisation, ensuring companies anticipate trends and make smarter strategic choices.
5. Business Intelligence Analyst
Business Intelligence Analysts develop dashboards, reporting systems, and analytical tools to highlight trends and opportunities, often uncovering new avenues for growth. Proficiency in platforms such as Power BI, Qlik, or Looker, along with strong communication skills, allows them to design clear, actionable reports and insights that guide business decisions and support strategic initiatives.
These professionals will be in the hiring strategies in 2026 for companies characterised by their data maturity and commitment to digital transformation. Examples are; established global companies with extensive data infrastructure which require large teams of BI Analysts to manage their vast datasets globally. Startup and mid-size companies will also be hiring to leverage analytics to scale faster and stay competitive.
6. Data Governance and Compliance Specialist
Companies increasingly rely on specialists to ensure data is handled responsibly and in line with regulations. Data Governance and Compliance professionals manage data quality, mitigate risk, and uphold standards such as GDPR and ethical AI practices. They use tools such as Collibra, Alation, or Informatica to track data lineage and enforce governance policies. Hiring companies will be primarily large enterprises and mature organisations, but also include growing startups and public sector bodies that need to establish formal governance frameworks.