> Markdown version of [/jobs/ext/3943999-data-ai-consultant](https://www.wearedevelopers.com/jobs/ext/3943999-data-ai-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Consultant - **Company:** Volve - **Location:** Belgium - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Information Engineering, Data Systems, Document-Oriented Databases, Python (Programming Language), Power BI, Tensorflow, SQL Databases, Azure Data Factory, Large Language Models, Scikit Learn, Information Technology, Machine Learning Operations, Databricks - **Published:** October 27, 2026 - **Apply:** https://www.volve.be/job/data-ai-consultant/ ## About the Role * Master's degree in Computer Science, Engineering, or related field. * 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. ## Description * 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., You share your CV via the form below. After this, you will receive an e-mail to confirm your submission, that mail will also describe any potential next steps for you. * Step 2 Personal video To help us get to know you better, we'd love for you to record a short, 1-minute video sharing something about yourself that isn't on your resume. This is in line with our "people first" philosophy. Technical details are shared via e-mail. * Step 3 Capacity tests We will share 3 tests with you that you can perform online at your own convenience. These tests concern your verbal, numerical & abstract skills and will be used to further assess your application. All details will be shared with you via e-mail. * Step 4 Interview In this step you will have an interview with someone from our team where we talk about your desires, ambitions, past experiences etc. The goal is to determine if we are fit for each other! * Step 5 Assessment day We invite you to our office for the assessment day! Upfront, you will receive a personality test and a case study with matching dataset, the idea of the case is that you present the findings of your analysis back to us. Next to the case, you will also take part in a role play and we will discuss the results of your personality test together. * Step 6 Contract In this final step we have a conversation about your contract and work out all practicalities together. Join the club!