Databricks Engineer

A growing Data & AI consultancy is looking for an experienced Databricks Engineer to join its expanding Data Engineering practice. You'll play a key role in designing and delivering modern cloud-based data platforms that enable advanced analytics, AI, and data-driven decision-making for leading organisations across Belgium.

This is an opportunity to work on large-scale data transformation projects, leveraging the latest technologies within the Databricks ecosystem while collaborating closely with Data Scientists, AI Engineers, Architects, and business stakeholders.

Key Responsibilities

• Design, build and maintain scalable data platforms using Databricks.
• Develop robust data pipelines that ingest and process data from multiple operational and enterprise systems.
• Build and optimise data solutions using Apache Spark, Delta Lake, and Unity Catalog.
• Ensure data is reliable, accessible, and suitable for analytics, machine learning, and AI applications.
• Contribute to platform architecture decisions and technology best practices.
• Implement software engineering principles within data environments, including testing, version control, and CI/CD.
• Work closely with stakeholders to deliver high-value data products that support long-term business objectives.
• Explore and adopt emerging AI-driven engineering capabilities that improve development efficiency and platform performance.

Requirements

• Proven experience working with Databricks in a production environment.
• Strong knowledge of:
• Apache Spark
• Delta Lake
• Unity Catalog (preferred)
• Python
• SQL
• Experience applying software engineering best practices, including:
• Infrastructure as Code (IaC)
• Git version control
• CI/CD pipelines
• Exposure to cloud environments such as Microsoft Azure or AWS.
• Strong problem-solving skills and a passion for building scalable data solutions.
• Fluent Dutch language skills (spoken and written) are essential.

What's on Offer

• Join a highly regarded Data & AI practice working on cutting-edge projects.
• Exposure to modern AI and data technologies across a variety of industries.
• Significant investment in professional development, learning, and coaching.
• Collaborative and supportive culture focused on knowledge sharing.
• Opportunity to work alongside experienced Data & AI professionals.
• Flexible working arrangements and a hybrid working model.
• Long-term career progression within a rapidly growing organisation.