The European Engineering Talent Heat Map

▸ Europe is not a single engineering talent market. It is a collection of distinct ecosystems, each with different salary expectations, talent density, hiring speed, specialisation depth, and competitive dynamics. Understanding where specific engineering talent actually sits is increasingly becoming a strategic advantage for companies building technical teams across Europe.

There is no single best engineering market in Europe

A company building an AI research team may find the experience it needs in London, Paris or Zurich. A scale-up looking for platform engineers could have a more productive search in Amsterdam, Warsaw or Bucharest. A product company building an international team may prefer Barcelona, Berlin or Lisbon.

None of those cities is universally better. Each solves a different hiring problem.

The right European engineering hub depends on the work, seniority, salary, language, office policy and employment structure attached to the role. A city with thousands of developers can still be a poor market for a specialised position. A smaller city can be valuable when its local industries have produced the exact experience a company needs.

This report compares European technology hubs by practical hiring fit. It is designed to help employers decide where to search—not to produce a league table of cities.

→ Choose the work before choosing the market

Define what the new engineer must build, repair or own during the first year. Then compare cities by relevant experience, attainable salary and employment options. A famous technology hub is not automatically the right place for every role.

How this talent map was built

The map combines three types of evidence:

1. Official European employment and technology data
2. City and regional ecosystem reports
3. Tech StaQ’s observations from engineering searches and candidate conversations across Europe

The city assessments are directional. Job titles are inconsistent, public profile counts change according to search filters, and no official dataset counts every DevOps, MLOps or platform engineer in a city.

For that reason, this report avoids presenting LinkedIn profile counts as fixed market sizes.

How to interpret the salary ranges

The salary tables show broad annual gross base-salary planning ranges for experienced permanent employees. They exclude:

• bonuses;
• equity;
• employer social contributions;
• recruitment fees;
• relocation;
• benefits;
• on-call payments; and
• contractor margins or taxes.

They are not formal salary surveys or guarantees. A candidate’s expectations will depend on the role, company, location, employment model and competing opportunities.

Contractor invoices should not be compared directly with employee salaries. Contractors may fund their own leave, pension, insurance, equipment, administration and periods without paid work.

What the European data tells us

Europe has a large technology workforce, but that does not make every specialist easy to find.

Eurostat reports that more than 10 million people worked as ICT specialists in the EU in 2025, representing 5% of total employment. The EU’s policy target is at least 20 million ICT specialists by 2030.

That target is sometimes described as a forecast eight-million-person shortage. This is misleading. The difference between current employment and a policy target is not automatically a projected labour shortage.

The pressure on technical recruitment is nevertheless real. In Eurostat’s survey covering recruitment during 2021, 62.8% of EU enterprises that recruited or attempted to recruit ICT specialists reported difficulty filling those vacancies. The result applies to ICT recruitment generally, not specifically to software engineers. Eurostat provides the country-level results and methodology.

Demand is also broadening as more businesses adopt cloud and AI systems. In 2025:

• 52.74% of EU enterprises used paid cloud computing services;
• 19.95% used at least one form of AI technology; and
• 13.76% purchased cloud computing platforms for application development, testing or deployment.

These figures come from Eurostat’s survey of ICT use in enterprises, which covers businesses with at least ten employees in the included sectors.

European engineering talent at a glance

The table below summarises where we would start a search. “Cost position” compares the market with other major European hubs; it does not mean that every candidate in that city will fall within the same salary band.

A map can show where a market may be worth exploring. It cannot tell you whether a specific vacancy is viable. That requires a role-level search using the actual skills, salary and working conditions.

Which cities fit which engineering roles?

AI and machine-learning engineering

AI hiring covers several different markets:

• research scientists;
• machine-learning engineers;
• data and applied AI engineers;
• MLOps and AI-platform engineers;
• evaluation and model-quality specialists; and
• AI technical leaders.

London, Paris and Zurich are useful starting points for research-heavy positions. Berlin and Amsterdam offer stronger overlap between machine learning and product engineering. Barcelona and Warsaw can work well for applied AI, data engineering and production infrastructure.

The best city depends on whether the company is training models, integrating existing models, operating AI infrastructure or building an AI-enabled product.

A business using external foundation models may not need a research scientist. It may need a backend engineer who can build retrieval, evaluation, observability and data-quality systems around those models.

For searches involving machine learning, data or production AI infrastructure, see Tech StaQ’s AI, ML and data engineering recruitment.

DevOps and platform engineering

Platform and infrastructure hiring is distributed more widely than frontier AI research.

Amsterdam, Warsaw, Munich, Dublin, Bucharest and Berlin all provide useful starting points, but for different reasons:

• Amsterdam offers experience in data-intensive platforms, payments and international cloud environments.
• Warsaw has depth across platform engineering, backend systems and infrastructure delivery.
• Munich is relevant when the work involves industrial or regulated systems.
• Dublin has a large concentration of cloud and enterprise software experience.
• Bucharest can offer strong infrastructure and backend capability at a lower salary level.
• Berlin provides platform engineers with startup and product-company experience.

Employers should first decide whether they need DevOps, cloud infrastructure, platform engineering or site reliability engineering. Combining all four with security and database administration can make an otherwise attractive vacancy difficult to fill.

Backend and product engineering

Backend and product engineering skills exist across almost every major European hub. The useful distinction is the environment in which engineers gained their experience.

Berlin, Barcelona, Amsterdam, Stockholm and Lisbon are relevant for product-led software companies. Warsaw, Kraków, Bucharest, Prague and Budapest can provide strong backend and distributed-systems capability. Munich, Madrid, Dublin and Paris offer more access to enterprise and regulated-industry experience.

A company building a consumer application may value experimentation and short release cycles. A payments platform may care more about transaction integrity, auditability and operational resilience. Both may advertise for a senior backend engineer, but the evidence required is different.

Cybersecurity engineering

Cybersecurity searches narrow quickly because the field contains many specialisms:

• cloud security;
• product security;
• identity and access management;
• application security;
• detection and response;
• governance, risk and compliance;
• operational technology security; and
• security leadership.

London, Amsterdam, Munich, Warsaw and Tallinn are useful starting points, depending on the specialism.

Tallinn is particularly relevant to identity, digital public infrastructure and distributed systems. Munich offers access to industrial and enterprise security. London and Amsterdam provide financial-services and large-scale commercial security experience.

The smaller the specialist pool, the less useful broad salary averages become. The availability of one credible candidate can matter more than a market-wide profile count.

Technical leadership

A strong engineering hub does not automatically contain a deep pool of experienced CTOs, VPs of Engineering or principal engineers.

Leadership searches should consider:

• company stage;
• team size;
• technical complexity;
• commercial responsibility;
• transformation experience;
• location expectations; and
• whether the role remains hands-on.

London, Berlin, Amsterdam, Paris and Stockholm have established scale-up leadership communities. Barcelona, Madrid, Warsaw and Lisbon also contain experienced international leaders, but the relevant pool becomes smaller once sector and company-stage experience are added.

Senior technical leadership usually requires a targeted executive and technical leadership search rather than a high-volume sourcing campaign.

City-by-city European hiring guide

London

London offers broad access to AI, fintech, cybersecurity, product engineering and technical leadership. Its advantage is not one isolated specialism but the combination of research institutions, venture-backed companies, financial services and multinational employers.

The City of London Corporation reported that technology SMEs in the Square Mile had secured £7.2 billion in private investment since 2019. Its analysis highlights fintech, data and AI as important parts of that ecosystem. The City of London published the supporting figures in February 2025.

The trade-off is cost and competition. Employers searching for senior AI, security or platform professionals may compete with well-funded UK and US organisations.

London makes sense when a company needs:

• research or technical leadership;
• UK market proximity;
• financial-services experience;
• a native English-speaking base; or
• access to several specialist communities in one city.

It is less compelling when salary efficiency is the primary objective.

Paris

Paris has developed a strong concentration of AI research, data science and enterprise technology. Universities, research organisations and well-funded AI businesses have helped create a market that is particularly relevant to model development and regulated applications.

Choose Paris Region reported in 2026 that the Paris Region ranked eighth among global technology ecosystems and seventh for AI, based on the external ecosystem rankings used in its report. Its VivaTech release provides the regional figures and methodology.

Employers should distinguish research from product engineering. A candidate experienced in model research may not want to own product integration, customer delivery or operational infrastructure.

French can also materially widen the accessible pool, particularly outside international startups. Compensation should be modelled using the full employment package rather than gross salary alone.

Paris is a strong option for:

• machine-learning research;
• enterprise AI;
• data science;
• defence, aerospace and public-sector technology; and
• technical roles connected to French customers or institutions.

Berlin

Berlin remains one of Europe’s strongest markets for startup and product engineering. Its international company base supports English-language searches across backend, full-stack, data and applied AI roles.

Berlin Partner reported 218 startup funding rounds and approximately €2.7 billion in venture capital during 2025. It also counted 283 AI startups in Berlin, representing 30% of the German total in the cited German AI Startup Landscape. Berlin Partner published the results in its 2025 annual review.

Berlin is particularly relevant when candidates need to work across engineering and product rather than inside a narrowly separated technical function.

Competition is substantial. Employers with unclear ownership, lengthy interviews or salaries based on older local benchmarks may struggle even when the original candidate pool appears large.

Berlin works well for:

• B2B SaaS;
• applied AI;
• developer tools;
• product and full-stack engineering;
• startup engineering leadership; and
• international teams operating in English.

Amsterdam

Amsterdam offers strong overlap between fintech, data engineering, cloud infrastructure, logistics technology and international product development.

The city’s ecosystem includes global companies and smaller technology businesses. StartupAmsterdam, an initiative of the City of Amsterdam, connects founders, investors, mentors, workspaces and international networks across the local startup community.

English is widely used within international technology organisations, although companies should not assume that every local employer or candidate works exclusively in English.

Amsterdam is useful for:

• payments and fintech;
• platform engineering;
• cloud and data infrastructure;
• logistics technology;
• SaaS; and
• European headquarters requiring internationally experienced engineers.

The market is relatively small compared with London or Berlin. Competition and housing costs can affect salary and relocation discussions.

Zurich

Zurich offers specialised depth in AI research, quantitative engineering, deep technology, high-reliability infrastructure and financial systems.

Its talent pool is smaller than London’s or Berlin’s, while salaries are among the highest in Europe. Compensation should be benchmarked in Swiss francs rather than converted into euros and presented as an equivalent European salary.

Zurich is a sensible target when technical depth matters more than cost, particularly for:

• quantitative systems;
• AI research;
• deep technology;
• high-performance infrastructure;
• financial engineering; and
• technically demanding leadership roles.

Switzerland is outside the EU. Immigration and employment planning therefore need to distinguish between Swiss, EU/EFTA and other nationalities.

A broad team build may be difficult. A targeted search for one specialist can be more realistic.

Munich

Munich’s engineering base is closely connected to automotive, industrial systems, enterprise software, insurance and safety-sensitive technology.

That makes the city relevant when a company needs engineers who have worked with physical products, regulated processes or long-lived production systems. It may be a better fit than Berlin for industrial AI or enterprise MLOps, even if Berlin has more startup visibility.

Munich works well for:

• automotive and mobility software;
• industrial AI;
• embedded and connected systems;
• enterprise platforms;
• insurance technology; and
• production systems with safety or regulatory constraints.

English-language roles exist, but German can expand the candidate pool, particularly in established companies. Notice periods should be checked during the first conversation rather than near the offer.

Stockholm and Copenhagen

Stockholm combines product engineering, fintech, gaming, platform development and consumer technology. Copenhagen adds strong links to healthcare, life sciences, energy and industrial technology.

Both markets benefit from high English proficiency within international companies. The trade-off is scale: the number of relevant candidates can fall quickly once employers apply narrow sector, seniority and location requirements.

Stockholm is a useful starting point for:

• fintech;
• gaming;
• consumer products;
• platform engineering; and
• product-led technology companies.

Copenhagen is particularly relevant to:

• healthcare technology;
• life sciences;
• energy;
• industrial software; and
• data platforms connected to regulated sectors.

Employers should benchmark total compensation and benefits, not base salary alone.

Dublin

Dublin offers experience in cloud infrastructure, enterprise software, security, SaaS and European operations for US-headquartered technology companies.

Native English, EU membership and the presence of multinational engineering organisations make it an attractive base for companies expanding into Europe.

The same employer base creates competition. Candidates with experience at large technology businesses may evaluate equity, pension, healthcare and career scope alongside salary.

Dublin works well for:

• cloud infrastructure;
• enterprise SaaS;
• cybersecurity;
• technical support engineering;
• US-company European teams; and
• roles requiring close communication with North American leadership.

Employers should also consider the effect of local housing costs on relocation and office-attendance requirements.

Barcelona and Madrid

Barcelona and Madrid are distinct engineering markets.

BCN has a more international product and startup profile. Mobile World Capital Barcelona reported 129,608 digital professionals in the city, with the workforce growing by 7,423 people during 2024. One third of the professionals covered by the report came from outside Catalonia. The Digital Talent Overview 2025 contains the underlying figures.

Catalonia Trade & Investment separately reported 203 international technology hubs employing 46,080 people in Catalonia during 2025. Its technology-hub overview explains the regional data.

Barcelona is particularly relevant to:

• product and full-stack engineering;
• data;
• applied AI;
• mobile;
• e-commerce;
• travel technology; and
• international teams working in English.

Madrid has greater exposure to financial services, telecommunications, consulting, enterprise software and large Spanish organisations. It is useful for:

• fintech and banking technology;
• cloud transformation;
• enterprise data;
• cybersecurity;
• backend platforms; and
• products aimed at Spanish-speaking markets.

International candidates do not always benchmark themselves against local companies. Someone moving from London, Amsterdam or Berlin may carry different salary expectations from an engineer who has built a career in Spain.

Where a company hires an employee in Spain without its own entity, an Employer of Record in Spain may provide one possible structure. The arrangement should still be reviewed against the role, authority, permanence and local legal requirements.

Lisbon and Porto

Lisbon and Porto provide access to product, full-stack, data and distributed engineering experience.

But Lisbon has greater international startup visibility. Porto has a strong university pipeline and can offer lower competition for some roles. Both cities contain engineers who have worked in distributed teams serving companies elsewhere in Europe.

Portugal can be useful for:

• product engineering;
• nearshore team extension;
• data engineering;
• SaaS;
• frontend and full-stack development; and
• Portuguese-speaking international products.

The market should no longer be approached as a source of very low-cost Western European talent. International demand has raised expectations, particularly among senior engineers working remotely.

English is common in international technology companies, but language assumptions should still be checked role by role.

Warsaw, Kraków and Wrocław

Poland has several substantial engineering hubs rather than one national market.

Warsaw has strong exposure to financial services, product engineering, platform infrastructure and data.
Kraków contains established engineering centres, backend development, cybersecurity and data expertise.
Wrocław offers strong cloud, backend, embedded and enterprise engineering communities.

These cities are useful for:

• platform and DevOps engineering;
• backend systems;
• fintech;
• data engineering;
• MLOps;
• cybersecurity; and
• distributed European teams.

Many experienced Polish engineers consider business-to-business arrangements, but preferences vary. A B2B contract should not be treated as a shortcut around employment law or worker-classification responsibilities.

Companies should compare permanent salary and contractor rates separately. An apparently higher contractor invoice may include costs the employer would otherwise carry.

Poland works best when employers source actively and judge candidates on ownership rather than employer names or job titles.

Bucharest and Cluj-Napoca

Bucharest and Cluj-Napoca offer backend, data, cloud and infrastructure capability, supported by international engineering centres and local technology companies.

Yet Bucharest has the larger commercial market. Cluj-Napoca is smaller and closely connected to its university and engineering-services ecosystem.

These cities can be useful for:

• backend development;
• data engineering;
• cloud infrastructure;
• quality engineering;
• security; and
• distributed product teams.

Lower average salary does not mean lower expectations around role quality. Senior engineers compare technical ownership, remote flexibility, contract stability and international exposure.

Applicant volume may not reveal the full market. Targeted search and referrals are often necessary for senior or specialist positions.

Prague, Budapest and Sofia

These three markets are often grouped under “Central and Eastern Europe”, but their engineering communities differ.

Prague has useful depth in enterprise software, cybersecurity, backend systems, gaming and simulation.

Budapest offers backend, data, fintech and enterprise engineering, supported by a strong mathematical and technical education tradition.

Sofia is relevant to infrastructure, cybersecurity, backend and engineering-services environments.

They can provide strong alternatives when a company’s search in Warsaw, Berlin or Bucharest has become too competitive. Their smaller size means that role design matters: an unnecessarily narrow technology list can remove much of the viable pool.

Tallinn, Vilnius and Riga

The Baltic markets are smaller but useful for targeted searches.

Tallinn is associated with cybersecurity, digital identity, distributed systems and digital public infrastructure.

Vilnius has strong links to fintech, payments, compliance technology and backend engineering.

Riga provides backend, data, financial-technology and security experience within a smaller market.

The Baltics are better treated as specialist markets than high-volume team-building locations. A company may find an unusually well-matched security or fintech engineer, but it should not assume that hundreds of equivalent profiles exist locally.

Additional markets worth considering

Software engineering salaries across Europe

Salary comparisons should begin with the city, role and employment model—not “Europe”.

The ranges below are intended for initial workforce planning. They represent experienced permanent employees and should be validated before opening a search.

What moves a candidate towards the top of the range?

Salary tends to increase when the role requires several of the following:

• principal or multi-team technical influence;
• responsibility for production reliability;
• regulated-industry experience;
• advanced security ownership;
• distributed-systems scale;
• machine-learning infrastructure;
• uncommon domain knowledge;
• frequent on-call work;
• technical leadership without direct authority; or
• relocation to an expensive city.

A company may find a lower-cost candidate in another country. That does not mean the people are interchangeable. Experience, communication, employment risk and management overhead also have economic value.

Gross salary is not total employment cost

A proper comparison should consider:

• employer contributions;
• pension and insurance;
• paid leave;
• statutory and contractual benefits;
• equipment;
• payroll administration;
• recruitment;
• relocation;
• bonuses and equity;
• on-call payments; and
• the time required for onboarding.

The percentages vary too much by country and individual circumstances to support one reliable “European employer-cost premium”.

A contractor’s invoice may be higher than an employee’s gross salary while still producing a different total cost. The reverse can also be true. Classification, permanence and management arrangements must be considered alongside price.

Employment models and hiring times

The company needs to answer two separate questions:

1. Who will find the engineer?
2. Who will employ or engage them?

A recruitment agency can identify a permanent employee but does not normally become that person’s employer. An Employer of Record can provide a local employment structure but cannot fix an unclear role. RPO can operate the recruitment process across multiple positions, but the company still needs suitable employment arrangements in every country.

Tech StaQ supports:

• software and platform engineering recruitment;
• AI, ML and data engineering recruitment;
• technical leadership and executive search;
• embedded recruitment and RPO;
• contract and interim engineering; and
• Employer of Record support in Spain.

Search time and start date are not the same

A company may complete interviews in three weeks and still wait months for the employee to begin.

Start dates can be affected by:

• contractual notice;
• collective agreements;
• bonus dates;
• stock vesting;
• immigration;
• relocation;
• background checks; and
• the candidate’s existing project commitments.

Notice periods differ between countries, employers and contracts. They should be confirmed during the first interview rather than estimated from a general country table.

A practical interview timetable

For most senior engineering positions, the selection process can be kept to:

1. role and motivation discussion;
2. structured technical interview;
3. focused practical or system-design assessment; and
4. final scope and team conversation.

The company should explain what each stage evaluates. Repeating similar interviews with different stakeholders adds time without necessarily producing better evidence.

How to choose a European hiring location

1. Define the first-year work

Replace a general title such as “senior software engineer” with the outcomes the new hire must own.

For example:

• redesign payment reconciliation;
• reduce cloud expenditure;
• build a self-service platform;
• move an ML model into production;
• improve release reliability; or
• establish engineering standards across several teams.

2. Separate requirements from preferences

An office location, exact technology, language, sector background and salary ceiling may all reduce the pool. Decide which constraints are essential.

A Python engineer who has operated comparable systems may be more relevant than a candidate who lists every framework in the job description but lacks production ownership.

3. Choose three markets to test

Start with a small set of credible locations rather than launching across the continent.

For example:

These are starting points, not fixed rankings.

4. Run a profile-level market test

Before committing to a city, identify a representative group of potential candidates and assess:

• relevant production experience;
• seniority;
• language;
• likely salary;
• office or remote preference;
• employment model; and
• notice period.

This reveals whether the theoretical market survives contact with the actual role.

5. Validate the complete employment cost

Compare the cost of employing the person, not only the advertised salary.

Include payroll, benefits, leave, equipment, recruitment, management overhead and any local employment provider. For contractors, include the rate, VAT treatment where applicable, classification, intellectual property and continuity.

6. Launch with one clear proposition

The message to candidates should explain:

• what the company builds;
• why the role exists;
• what the engineer will own;
• who they will work with;
• where they may work;
• the employment model;
• the salary range; and
• how the interview process works.

A well-chosen market cannot rescue a vague vacancy.

→ The lowest salary market is rarely the cheapest failed search

A role that remains open, attracts the wrong experience or produces an unsuitable hire carries costs that do not appear in a salary table. Market choice should improve the probability of hiring the right person, not merely lower the headline number.

Frequently asked questions

Planning engineering growth in Europe?

Tell us what you need the team to build, which countries you can employ in and how much flexibility you have around location.

Tech StaQ can compare the brief against relevant European markets, challenge requirements that unnecessarily restrict the search and provide an initial view of salary, availability and hiring model.

Start your European hiring assessment →