What does the UK technology and AI hiring market look like right now?

The picture is uneven. Overall the market is cautious, but the demand is concentrated in exactly the skills a lean team needs. Against a subdued 2025 economy, businesses took a careful approach to hiring while specialist hotspots stayed hot, with AI, data, enterprise applications and cyber security all in strong demand Computer Weekly's tech recruitment outlook for 2026.

The scale of that AI pull is striking. Demand for AI skills rose by nearly 200 percent in a year, with London alone accounting for 80 percent of AI-related job postings and nearly two-thirds of all UK technology vacancies Accenture data reported by The Register. The sector is large, too: the UK now has 107,082 digital and technology companies, around 5.2 percent of all UK firms GOV.UK's Digital and Technologies sector statistics. And the broader trend keeps pointing up, with the largest volume rise in vacancies in late 2025 landing in professional, scientific and technical activities the ONS vacancies bulletin for November 2025.

There is a catch for lean teams that lean on junior hires. UK tech graduate roles were cut by 46 percent in a year, with a further 53 percent drop projected figures from the Institute of Student Employers via The Register, and entry-level postings have dropped around 30 percent since ChatGPT launched Adzuna data cited by techUK. In short, the junior pipeline is thinner, so the experienced specialist you hire matters more than ever.

Why is a data platform engineer so central to a lean technology team?

A data platform engineer builds and runs the pipelines, storage and tooling that everything else sits on. In plain terms, they make data reliable, accessible and ready to use, so analysts, product teams and any AI work have a solid foundation. On a small team, that one role often decides whether the whole data stack holds up.

Adjacent skills are in critical demand, which tells you how tight this space is. IT business analysts, architects and systems designers, a workforce of around 193,000, sit among the occupations in critical demand, scoring three of five indicators in 2025 the GOV.UK Occupations in Demand data for 2025.

There is also a route worth knowing.

How do you hire a data platform engineer well?

Start with outcomes, not a tool list. Write down what the platform must do in the next six to 12 months: the sources it ingests, the reliability you expect, and who depends on the data downstream. That scope tells you whether you need one senior generalist or a more specialised profile.

• Define the platform outcomes first, then map the skills to them rather than copying a generic job spec.
• Prioritise for a lean team: one experienced engineer who can own the stack end to end beats several partial fits.
• Move quickly. In a market where AI and data skills are in high demand, a slow process loses strong people to faster teams per Computer Weekly's 2026 outlook.
• Lean on the resident labour force. For engineering roles, the vast majority of new hires come from within the UK, showing low reliance on international recruitment the GOV.UK IT and engineering review.
• Consider an apprenticeship alongside your senior hire to build a pipeline while junior openings stay scarce as the DSIT AI survey suggests.

Pay realism helps as well. For engineering professionals on the Skilled Worker route, pay is broadly in line with the UK average, while top technology firms can pay well above the threshold for scarce skills the Migration Advisory Committee review of IT and engineering roles. Knowing where your role sits keeps your offer competitive and your process honest.

How can we help you hire a data platform engineer?

We handle the whole search so a lean team does not have to. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost, through Reed.ai. Ready to see who fits? Share your brief and we'll get started.