AI Data Engineer

AI Data Engineer (Contract, Remote)

We're looking for an experienced AI Data Engineer to build scalable data pipelines and deploy production-ready machine learning solutions within a modern cloud data platform.

The Role:

• Own end-to-end data and ML workflows, from ingestion and transformation through to model deployment and monitoring, with a focus on reliability and scalability in Snowflake and Python.

What You'll Be Doing:

• Build and maintain data ingestion pipelines into Snowflake (structured and time-series data)
• Prepare ML-ready datasets (feature engineering, aggregations, train/test splits)
• Develop, train, and deploy ML models using Python (scikit-learn, XGBoost, LightGBM)
• Operationalise ML workflows in Snowflake using Snowpark
• Write model outputs back to Snowflake for downstream use
• Monitor pipelines and models, including data quality checks and retraining triggers

Technical Environment:

• Snowflake (SQL, Streams, Tasks, Snowpipe)
• Python for data engineering and ML (including Snowpark)
• ML frameworks: scikit-learn, XGBoost, LightGBM
• Time-series data processing (desirable)
• Azure Data Lake / Microsoft Fabric (nice to have)

Contract Details:

• Initial contract with strong extension potential
• Fully remote (Has to be European based)
• €300 - €325 Per Day