Tech & Engineering Talent
Engineers and technology leaders who are not on the market.
The best engineers, data scientists and security specialists are rarely looking. We find them where they work, speak their language and qualify them properly.
Specialisms
Seven specialisms, one standard.
Artificial Intelligence / Machine Learning
Applied AI teams need people who can take a model from research to production. We look at what candidates actually shipped: models in production, evaluation practice, data and infrastructure choices, and the business problem behind them.
Typical rolesML engineers, applied scientists, MLOps and LLM engineers, AI product leads
Data Engineering & Data Science
From pipelines to analytics and data science, the same title covers very different work. We qualify the stack, the data volumes, the stakeholders served and how far each person owned the platform or the models.
Typical rolesData and analytics engineers, data scientists, data platform leads, heads of data
Software Engineering
For engineering roles we focus on scope and level: the systems built, the scale handled, the codebase and team context, and the signals that separate senior, staff and principal engineers.
Typical rolesBackend, frontend, full-stack and mobile engineers, staff and principal engineers, engineering managers
Cloud & Infrastructure
Platform, cloud and reliability profiles are judged on what they ran: the environments, the automation, incident ownership and cost or security responsibilities.
Typical rolesCloud architects, platform, DevOps and site reliability engineers
Cybersecurity
Security hiring mixes deep specialisms with regulatory context. We separate engineering, architecture, governance and leadership profiles, and handle these searches with particular discretion.
Typical rolesSecurity engineers, cloud security, security architects, GRC specialists, CISOs
ERP & Digital Transformation
ERP and transformation roles sit between technology and the business. We check the platforms, the programme sizes and phases, and the ability to work with finance, operations and leadership.
Typical rolesERP consultants and architects, IT business analysts, transformation programme leads
Product & Technology Leadership
Technology leaders are hired for judgement as much as skill. We look at the teams built, the decisions made under constraint, and how each person works with founders, boards and peers.
Typical rolesCTOs, VPs of Engineering, heads of product, CPOs
Why these hires are hard
Demand moves faster than the talent pool.
Scarcity
Senior AI, platform and security profiles are courted constantly. A job ad competes with frequent direct approaches from other companies.
Signal
Titles say little. A “data engineer” can mean ten different stacks. Qualification has to go into the actual work.
Motivation
Strong engineers move for the problem, the team and the technical environment. The pitch has to be precise.
- We translate your needs into concrete signals: stack, scale, problems solved, seniority markers
- We map comparable teams, open-source communities and adjacent industries
- We approach candidates with the technical substance of the role, not a generic message
- We qualify on real experience and motivation, and flag what needs your technical assessment
FAQ
Tech & Engineering Talent
Also see
Tech Business & Leadership Talent
B2B Tech Sales · Account Executives · Growth & Demand Generation · Revenue Operations · Product Marketing · Presales / Solutions Engineering · Technology Executives
How do you recruit specialised AI engineers?
We start from the work, not the title: the models and systems the role will own, the stack and the level of autonomy expected. We then map teams that ship comparable AI products, approach engineers directly with the technical substance of the role, and qualify what each person actually delivered before presenting anyone.
Do you assess technical skills yourselves?
We qualify experience, scope and motivation in depth and check the signals that matter for the role. Technical tests and deep technical interviews remain with your team, or with a specialised assessment partner if you use one.
Can you recruit AI and LLM engineers?
Yes. AI and machine learning is one of our core specialisms, including ML engineers, applied scientists, MLOps and LLM engineers, and AI product leaders.
Do you cover ERP and transformation roles?
Yes. ERP consultants and architects, IT business analysts and transformation programme leads are part of the Tech & Engineering practice, particularly in Luxembourg, Belgium and Switzerland.
Which profile are you looking for?
Share the role and the market. We will tell you how we would approach it.