onsite
AI Data Engineer - Bechtle AG
Data Engineer
Design and maintain scalable data pipelines for AI models, leveraging Python, SQL, and cloud services to ensure high-quality, reproducible data for machine learning workflows.
About the role
Key Responsibilities
- Develop and optimize data ingestion pipelines using Python and SQL to support AI model training and inference.
- Collaborate with data scientists to transform raw data into structured, feature-rich datasets.
- Implement data quality checks, monitoring, and automated alerts to maintain pipeline reliability.
- Deploy and manage data services on AWS (S3, Glue, Redshift, Lambda) ensuring scalability and cost efficiency.
- Document data schemas, pipeline logic, and best practices for reproducibility.
Requirements
- Proven experience building data pipelines for machine learning projects.
- Strong proficiency in Python, SQL, and cloud data services.
- Knowledge of ML concepts and feature engineering.
- Excellent problem‑solving skills and attention to detail.
- Effective communication and teamwork abilities.
Skills
pythonsqlmachine learningaws