Why Dutch-Speaking Data & AI Talent Is So Hard to Hire
AI, Artifical Intelligence, Netherlands | 3 min read READING TIME
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AI, Artifical Intelligence, Netherlands
Why it’s so hard to hire Dutch-speaking Data & AI talent in the Netherlands
One thing we’ve seen consistently is:
It is significantly harder to engage mid-to-senior Dutch-speaking Data and AI professionals than their English-speaking counterparts.
Even at the very first step.
Our response rates to outreach are less than a third for Dutch speakers compared to English-speaking candidates. That’s across both Dutch and English messaging.
On the surface, that feels counterintuitive. You’d expect local talent to be easier to engage.
In reality, the opposite is true.
Why this part of the market is so tight
There are a few overlapping pressures.
1. Senior ICs are in highest demand
When there’s economic pressure, hiring tends to focus on people who can add value quickly.
Mid-to-senior individual contributors sit right in that sweet spot. They don’t need long onboarding cycles and can drive impact early.
Unsurprisingly, that makes them one of the most competitive segments of the market.
2. Less reliance on international talent
Historically, a lot of Dutch businesses have relied on international hiring and outsourcing for at least some of their data capabilities.
That’s becoming harder.
Visa restrictions are tighter, and in many cases businesses now need people who can operate in Dutch, particularly when stakeholder engagement and change management are involved.
At the same time, it’s well known that reaching business-level Dutch as an expat is difficult and takes time.
So demand for Dutch-speaking professionals is increasing, while supply isn’t.
3. Consultancy demand is high
Consultancies and agencies are actively hiring this profile because their clients are asking for it.
Particularly in areas like Data Engineering and more technical roles, where being able to operate in Dutch environments is often non-negotiable.
That adds another strong demand layer on an already tight market.
4. Freelancing is still attractive
At this level, many professionals have the option to freelance.
Even with stricter enforcement around DBA rules, the appeal is still there:
- Higher earning potential
- More flexibility
- Greater control over projects
That continues to pull experienced talent out of the permanent market.
5. The “IC window” is relatively short
A lot of strong professionals at this level move into management roles fairly quickly.
So the window where someone is all of:
- Mid-to-senior
- Technically hands-on
- And not yet in leadership
…is relatively small.
6. They have more choice than ever
Dutch-speaking professionals aren’t limited to Dutch-speaking companies.
They can also work for international, English-speaking organisations.
So they effectively have access to both sides of the market, which increases optionality and reduces the need to engage with new opportunities.
7. Salary expectations are higher
All of the above has a clear impact on compensation.
Candidates at this level are:
- Receiving multiple approaches
- Comparing permanent roles with freelance options
- Benchmarking against international salaries
As a result, expectations have increased.
It’s not uncommon to see candidates holding out for stronger packages, more flexibility, or clearer progression before engaging seriously in a process, even at first interview.
What this means in practice
By the time many of these candidates become “active”, they’ve already been approached multiple times.
They’re often already in process, or have a clear view of what they want next.
Which is why job adverts alone tend to struggle at this level.
The market is driven far more by proactive engagement than inbound applications.
What actually works
If you’re not a large, well-known brand in the Netherlands, this can make hiring particularly challenging.
But there are ways to improve your position.
1. Be proactive
You won’t solve this with job ads alone.
You need to actively engage the market, whether that’s through internal talent teams or specialist partners.
2. Make your outreach credible
Generic messages don’t cut through.
Candidates want to understand:
- Why this role is relevant to them
- What the actual challenge is
- Why it’s worth their time
The bar for initial engagement is higher than most expect.
3. Build a visible talent brand
This doesn’t need to be complicated, but it does need to be consistent.
Events, strong job descriptions, thought leadership, and general visibility in the market all help.
4. Be clear on your Data & AI strategy
Candidates at this level will test this quickly.
They want to know:
- What you’re building
- Why you’re building it
- How mature the environment is
- What role they will actually play
If that isn’t clear, they disengage.
5. Create an environment people want to join
At this level, the details matter.
Things like:
- Knowledge sharing and the ability to learn
- Technical ownership
- Team quality
- Hackathons or internal projects
These aren’t perks, they’re signals.
Final thought
There is strong Data & AI talent in the Netherlands.
But the Dutch-speaking mid-to-senior segment is one of the most competitive parts of the market right now.
The companies that succeed here aren’t the ones with the most job ads.
They’re the ones that understand how the market actually behaves, and proactively engages with it.
We work closely with businesses facing exactly this challenge, helping them access hard-to-reach candidates and build high-performing data teams.
Get in touch to discuss your hiring plans, or learn how we’re supporting companies hiring Data & AI talent across the Netherlands.
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