Hiring Advice
Hiring AI Engineers in the Netherlands in 2026
AI hiring in the Netherlands has moved quickly over the past year. Large corporates are running broad AI programmes, companies whose core business is threatened by AI are rebuilding their products, and the talent pool is growing fast. Demand is still higher than supply. This article covers what we’re seeing in the market, what the…
Read MoreWhy Analytics Engineers Are Becoming One of the Most In-Demand Hires in Data in the Netherlands
Over the last 12 months, one trend has become increasingly clear across the Dutch data market: demand for analytics engineers is growing rapidly. We’re seeing this title come up in more hiring conversations than ever before, particularly as organisations move beyond simply collecting data and focus instead on making it usable, trusted, and accessible across…
Read MoreAI in Case Studies: Are Companies Assessing Different Skills Now?
I recently saw the same candidate receive completely different feedback during two hiring processes. One company praised them for using AI effectively throughout a case study. Another questioned the quality of the submission because they suspected AI had been used at all. Neither company was wrong, they were simply assessing different skills. As a recruiter specialising in…
Read MoreHiring for Agentic AI in the Netherlands: What We’re Seeing
Recently, we’ve been running a few searches in the Netherlands for people with experience in agentic AI. It’s not surprising that demand is increasing. More companies are moving beyond experimentation with GenAI and starting to think about how AI agents can support real business processes. However, hiring for these roles has been more complicated than…
Read MoreAI in Private Equity: How Talent Strategy Drives Portfolio Value Creation
Most PE firms are investing in AI, but returns remain mixed. Research from KPMG shows that around 80% of organisations view AI as critical to competitive advantage, and just over half report some level of return. Alongside this, work from Boston Consulting Group suggests only around 5% are generating meaningful value at scale. As AI…
Read MoreHow to Choose the Right AI Recruitment Agency in the US
Kyle Arriola, Harnham’s AVP of Data & AI Talent Acquisition, recently spoke with Simon Clarke, CEO of Harnham Group, about how companies should approach choosing the right AI and data recruitment partner in the US. The conversation focused on common challenges hiring teams encounter today, including, unclear role definitions, inconsistent job titles, and difficulty assessing…
Read MoreTech in Europe on the decline? The reality of the engineering talent market in the Netherlands tells a different story
If you read the news, you’d be forgiven for thinking tech in Europe is slowing down or even in decline. That’s not what we’re seeing. We’ve been supporting a data technology company hiring software engineers to work on a product that needs to scale to millions of users, with AI embedded into both the product…
Read MoreFrom Start-Up to Scale-Up: Hire Exceptional Data Talent in Two Weeks
By Guillian Eller, Manager AI/ML – Harnham You’re growing fast. You needed data talent yesterday. The reality in today’s competitive startup job search is that a highly specific role can get filled in 15 days. But without a plan for developing your specialist teams, the pattern of poor performance, constant crises, and increasing employee turnover…
Read MoreWhat’s Driving Northern UK’s Data & AI Hiring in 2025?
At a glance The Northern data and tech market is entering a new stage of maturity. Demand remains strong, but priorities are shifting from building capability to deploying it. According to Harnham’s Northern Data & Tech Market Update (Sept 2025), organisations across the region are now competing for professionals who can deliver value at speed.…
Read MoreWhy US Companies Are Scaling AI with Contractors in 2025
Artificial intelligence has arrived in the workplace and it’s changing how companies are structured, resourced, and scaled. While nearly every business is investing in AI, McKinsey reports only 1% believe they’ve reached maturity. This suggests that leadership hesitation, not talent availability, is now the most common barrier to scaling AI. To bridge the gap between…
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