Data & AI consultant
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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. Curious mindset with an appetite for self-development. Working proficiency in English & Dutch.
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.
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