Data & AI consultant

Pauwels Consulting; Zaventem; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

Pauwels Consulting is seeking a Medior/Senior Data & AI Consultant in Zaventem, Belgium. This role involves designing dashboards with Power BI, building ETL/ELT pipelines, and deploying AI/ML models. The ideal candidate has solid experience with Power BI and Databricks, and is skilled in Python or SQL for data transformation. If you're passionate about helping mid-market companies leverage data, this position is for you.

Qualifications

• Solid experience with Power BI or equivalent for data storytelling.
• Experience with Databricks notebooks, pipelines, and Unity Catalog.
• Comfortable writing clean Python or SQL for data transformation.

Responsabilités

• Design and deliver dashboards and reports in Power BI.
• Build and maintain ETL/ELT pipelines using medallion architecture.
• Collaborate to scope, develop, and deploy AI/ML models.

Connaissances

Power BI

Databricks

Python

SQL

Azure Data Services

Outils

Azure Data Factory

Data Lake Storage

Description du poste

At Volve, part of the Pauwels Solution Group, we're looking for a Medior/Senior Data & AI Consultant to join our team and help mid‑market companies turn raw data into real decisions, through smart analytics, Databricks‑powered pipelines, and AI/ML use cases that actually make it to production.

What will you do?

• Data Analytics & Reporting: Design and deliver dashboards and reports in Power BI that give clients clear, actionable insight.
• Databricks Engineering: Build and maintain ETL/ELT pipelines following the medallion architecture, from raw ingestion to curated, analytics‑ready datasets.
• AI & ML Use Cases: Collaborate with clients to scope, develop and deploy AI/ML models, including LLMs, that solve real business problems.
• Data Modelling: Structure and document data models that are clean, scalable and easy for stakeholders to understand.
• Client Collaboration: Work closely with business and technical stakeholders to translate requirements into data solutions.
• Quality & Governance: Apply best practices around data quality, lineage and documentation.

Who are we looking for?

Must‑haves

• Analytics & BI: Solid experience with Power BI (or equivalent) and the ability to tell a clear story with data.
• Databricks: Hands‑on experience with notebooks, pipelines, and Unity Catalog.
• Data Engineering: Comfortable writing clean Python or SQL to transform and model data.
• Azure Data Services: Familiarity with Azure Data Factory, Azure SQL, Data Lake Storage or equivalent.

Nice‑to‑haves

• Experience with ML frameworks (scikit‑learn, MLflow, etc.) or LLM tooling.
• Relevant Azure or Databricks certifications.
• Experience in a consulting or client‑facing environment.