AI, data & engineering recruitment
The people who build software, data and AI: from Java and .NET to data pipelines, LLM applications and MLOps. Our highest-volume practice, and the one where AI has changed the work fastest. Permanent and freelance, in Belgium and across Europe.
AI engineer · LLM engineer · applied AI · ML engineer · MLOps · AI integration · AI-native developers
Data engineer · analytics engineer · platform data · streaming · dbt · Databricks
Data scientist · BI & analytics · data analyst · quantitative profiles
Data governance · data protection · AI governance and EU AI Act readiness
Java · .NET · Python · Go · Node · Kotlin · microservices · API design
React · Angular · Vue · TypeScript · iOS · Android · design-system engineers
Test automation · QA engineering · release engineering · developer experience
Tech lead · staff engineer · engineering manager · solution architect
The offer that came back
For one client, we made an offer to the first-choice candidate. The next day he called us to decline: he had accepted another company. We started preparing an offer for the second-best applicant, but the client was not yet sure.
One day later, the first candidate called again and asked if our offer was still on the table. The other company had withdrawn its offer because of budget problems. We asked the client straight away, and they were happy to take him.
What we learnedAn offer can suddenly become a non-offer, and a rejection is not always final. Things change quickly in recruitment, and in life.
How a no became a yes
We once made an offer to a candidate who turned it down. In a follow-up call, we understood why: he wanted to work as a data engineer, but he also wanted to learn and have a foot in architecture.
We discussed it with the client, who put together a new offer in which he would work alongside their architects. He accepted.
What we learnedSometimes candidates only realise what would really make them move once an offer is on the table. And a company can shape an offer around a person when it makes sense for them, their team and their projects. Never be afraid to ask.
- Half of Belgian "AI engineer" vacancies describe a data engineer, and the other half describe three people. We rewrite the brief before we search.
- The most sought-after profile is someone who can put an AI feature into production and prove it works.
- Belgium's strongest engineers are usually in consultancies, and moving them to an end client is a different conversation entirely.
- Job adverts have lost some of their edge: applying online can feel like sending your CV into a black hole. We take a personal approach to attracting talent.
- In Belgium, no two packages are the same: one company offers a higher gross salary, another better benefits. We are great at negotiating terms with candidates and clients, from perks to counter-offers.
This is where the change is sharpest: specification and tests written first, implementation delegated and reviewed, whole manual steps deleted. The people worth hiring are not the ones with the longest tool list — they are the ones who can tell you what now catches their mistakes.
How we assess that