Amazon cites Spanish tech talent shortage; sector blames low pay

Amazon cites Spanish tech talent shortage; industry points to wages

An Amazon Web Services executive argues that demand and supply in the Spanish tech sector are mismatched, making it hard to find qualified profiles. This statement has reignited a recurring debate during hiring seasons: is there truly a talent shortage, or is the issue simply unwillingness to pay for it? The prevailing view supports the latter.

The dominant argument doesn't deny unfilled vacancies but rejects the cause. With gross annual salaries of €24,000, top-tier professionals aren't recruited, according to recurring analyses of the banking sector, which antiestéticatures mid-level profiles whose compensation cannot compete with international parent companies. The comparison with Amazon is most cited: €50,000 to €60,000 annually in Spain versus $150,000 at its Seattle headquarters, involving selection processes with up to seven interviews. Paying half for the same job and calling it a talent shortage has a name.

What does the sought-after talent cost?

The most circulated calculation is simple. A senior profile mastering cloud ecosystems, automation, and multiple languages costs no less than €250,000 gross annually if one aims to poach an established specialist. While presented as provocative, this figure structures the debate: if budgets fall short, the problem isn't professional supply, but salary offers.

There is a second layer. The Spanish tech sector operates with a cost structure that rewards tenure and penalizes effort. An established senior who meets basic expectations earns around €50,000. Another who certifies skills, works overtime, and maintains personal projects to stay relevant reaches €60,000. After taxes, the difference is about €400 per month. Divided by overtime hours, the second employee may earn less per hour than the first. This destroys team motivation without firing anyone.

Training no one wants to fund

The most repeated criticism isn't a lack of geniuses, but that companies fail to invest in turning existing staff into skilled professionals. It is noted that a basic five-hour analysis tool course represents ten years of training in some roles. The alternative proposal is clear: hire imperfect profiles and train them, rather than waiting for complete specialists willing to accept low pay.

The diagnosis of the Spanish business fabric is even harsher. Many companies only upgrade software when something breaks or subsidies are available. Productivity and process optimization are not priorities. Offices are described moving 40-megabyte spreadsheet files and running 32-bit applications on 64-bit processors. The leap to artificial intelligence finds them unprepared.

The intermediary inflating costs

Part of the analysis targets consultancies as market-distorting links. They are accused of selling expensive services and mediocre solutions at gold prices, such as €20,000 servers with hardware inferior to home computers, marketed as eco-friendly due to low consumption and tied to additional licenses. Clients pay for shoddy work, which justifies further shoddy work.

In the public sector, the pattern repeats with different blame allocation. Civil servants earning €50,000 annually oversee subcontractors paid under collective agreements less than €30,000, with frequent complaints about external staff attitudes or qualifications. Some argue failures stem from public-side decisions, not contractors, yet criticism always falls on the same side.

Talent leaving and staying

The most common conclusion concerns migration. Those with talent and mobility leave. Those remaining calculate whether striving for €400 monthly is worth it or joining a minimal-effort culture. The underlying suspicion is that talent isn't just unpaid: it's uncomfortable. It shadows those who climbed without merit and makes high performers problematic for their bosses.

This is where the analysis stalls. If the wage diagnosis is correct, raising offers would fill vacancies. Yet companies continue publishing identical conditions while blaming the market. Something in this equation doesn't add up, and no one fully explains what.