Data Specialist

The Role

We're looking for a Senior Data Specialist who can turn messy, real-world data into the foundation that makes AI actually work.

You start hands-on. You design and build data pipelines, clean and structure client data, and make sure the AI solutions we build have something solid to run on. At the same time, you're close to the client. You understand their data landscape, spot what's missing, and translate that into a plan.

As we grow, your scope expands. You become the go-to on data architecture across projects, and eventually you help steer how junior team members approach data problems.

Phase 1 (start): 80% hands-on data work, 20% client and team involvement. 2-3 projects in parallel. Phase 2 (growth): More architecture, more oversight. You set the standard for how we handle data across the board.

What you'll do

• Design and build data pipelines that feed LLMs, RAG systems, and AI agents

• Audit and structure client data: identify gaps, clean sources, define schemas

• Collaborate with AI engineers to make sure data quality never becomes the bottleneck

• Advise clients on their data infrastructure: what they have, what they need, and why it matters

• As the team grows: define data standards, review work, and help junior team members level up

Who you are

You know that most AI projects fail on data, not models. You've seen it. You're the person who asks "where does this data actually come from?" before anyone else thinks to. You're comfortable in the weeds of a messy database and equally comfortable explaining data risk to a non-technical director. In a small team, you don't wait for instructions. You see what needs to happen and you get it done.

What we're specifically looking for:

• 4-8 years of experience in data engineering, data science, analytics, or a related field

• Strong Python skills and experience with SQL, data modeling, and pipeline tooling (dbt, Airflow, or similar)

• Experience working with unstructured data and preparing it for LLM or RAG use cases

• Familiarity with cloud data platforms on GCP or AWS

• You've worked directly with clients or business stakeholders before

• Able to translate data findings into clear, non-technical language

• Excellent Dutch and strong English

Nice to have:

• Experience at a consultancy or agency

• Hands-on experience with vector databases (Pinecone, Weaviate, pgvector)

• Knowledge of data governance, compliance, or GDPR in an AI context

What we offer

• €4,500 - €7,000 gross per month, plus 8% holiday allowance

• 32-40 hour work week, your choice

• Hybrid working from Luxembourg, minimum 2 days in the office

• A team that doesn't just sell AI but builds and uses it daily

• A clear growth path: from specialist to lead data architect across a growing project portfolio