About the role
We’re looking for an AI Data Engineer to design, build, and maintain the data infrastructure that powers modern AI and machine learning applications. This role combines data engineering, platform thinking, and problem-solving to help organizations make better use of their data.
You’ll work closely with data scientists, analysts, and engineering teams to ensure data is accessible, reliable, and optimized for AI-driven workflows. From data ingestion and transformation to storage and performance optimization, you’ll play a key role in building systems that scale.
What you’ll work on
- Data pipeline development and automation
- Data integration and transformation
- AI and machine learning infrastructure
- Data quality, governance, and reliability
- Performance optimization and monitoring
- Cloud-based data platforms and workflows
What we’re looking for
- Experience building and managing modern data pipelines
- Understanding of data modeling and scalable architectures
- Knowledge of cloud platforms and data infrastructure
- Strong analytical and problem-solving skills
- Focus on reliability, performance, and data quality
- Clear communication and collaborative mindset
Details
- Remote-friendly
- Full-time or contract
- Flexible collaboration
We operate as a remote team, with an emphasis on innovation, collaboration, and continuous improvement. You’ll help build the data foundations that enable AI systems to perform reliably, scale efficiently, and deliver meaningful business value.