AI Data Engineer

AI Data Engineer – Python, Snowflake & Machine Learning (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