AI Data Engineer

Do you have experience in Scalable systems?, Do you have a Master’s degree?, * Strong expertise in data integration, transformation, and pipeline development

• Deep experience in data quality frameworks, validation, and monitoring
• Advanced knowledge of data modeling and metadata management
• Experience implementing data governance, lineage, and control frameworks
• Strong understanding of enterprise-scale data processing and optimization
• Solid foundation in supporting AI/ML data requirements and analytics use cases
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems,

mathematics, Statistics, or related field.

Required Skills

• 5+ years of experience in data engineering with strong focus on data quality and

enterprise data platforms.

• Experience enabling AI-ready and analytics-driven data ecosystems
• Proven ability to implement advanced data quality and governance practices
• Strong understanding of integrated data modeling, metadata, and lifecycle management
• Experience designing hybrid data architectures (on-prem and cloud)
• Advanced proficiency in SQL and Python.
• Background in regulated environments with audit and compliance requirements
• Combines expertise in data integration, quality, modeling, and governance to deliver

scalable, controlled, and fully traceable data platforms that enable AI-ready and reliable analytics outcomes.

Desired Skills

• Experience operationalizing data stewardship and control processes
• Familiarity with automated data pipeline testing, deployment, and monitoring practices
• Master’s degree in a technical or data-related field is a plus