Senior Data/AI Engineer
Senior Data/AI Engineer
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Job Description
Requirements
Technical Expertise:
At least 3 years of experience working with Databricks in a production environment.
Hands-on experience with Azure AI Services including:
AI Foundry
AI Search
OpenAI Service
Document Intelligence
Solid experience in Infrastructure as Code especially Terraform.
Advanced proficiency in Python SQL and ETL pipeline development.
Competency with Spark for distributed data processing.
Strong grasp of performance optimization pipeline scalability and data modeling best practices.
Familiarity with data governance and security in cloud environments.
Language Requirements:
Full professional proficiency in English.
Knowledge of Dutch or French is considered an asset.
Certifications:
If applicable include Microsoft Azure certifications (specify type).
Administrative Conditions:
Only applications that exactly match all required skills experience and language qualifications will be accepted.
Benefits
Hybrid work model with up to 50% remote flexibility.
Involvement in high-impact AI and data initiatives.
Opportunity to lead advanced projects involving cutting-edge cloud and AI technologies.
Collaborate with skilled professionals in cross-functional technical teams.
Gain exposure to strategic architecture-level decision-making in a cloud-native ecosystem.
Contribute to long-term data governance security and AI infrastructure development.
Employment Type
Full Time
