### **Senior Python Data Engineer (AI-Assisted Data Migration)**

We are looking for a **Senior Python Data Engineer** to support the migration of legacy **SAS-based ETL** processes to a modern Python data platform using **Parquet, PyArrow, Pandas, Polars, and Apache Spark**. You will play a key role in developing AI-assisted migration solutions, optimizing agent-driven workflows, and ensuring high-quality, scalable data transformation processes.

### **Key Responsibilities**

* Design, develop, and validate Python-based ETL and data transformation solutions.
* Review and optimize AI-generated Python code for performance, quality, and maintainability.
* Build and enhance data pipelines using **Pandas, Polars, PyArrow, Parquet, and PySpark**.
* Improve ETL/ELT processes, data quality, schema management, and performance.
* Contribute to AI-assisted software development and multi-agent orchestration workflows.
* Enhance workflow automation, validation processes, and human-in-the-loop quality assurance.
* Collaborate with architects, data engineers, and SAS experts to support complex migration scenarios.
* Ensure robust testing, documentation, and operational reliability of migration solutions.

### **Required Skills \& Experience**

* **5 years** of experience in Python Data Engineering.
* Strong expertise in **Python, Pandas, Polars, PyArrow, Parquet, Apache Spark/PySpark**, and Python performance tuning.
* Experience with **ETL/ELT**, data engineering, data quality, schema management, and testing frameworks.
* Experience using **AI-assisted development tools** (e.g., GitHub Copilot or similar).
* Knowledge of **agentic workflows**, multi-agent systems, workflow orchestration, and AI-driven automation.
* Familiarity with **SAS Base** (DATA Step, PROC SQL, Macros, ETL patterns) is a strong advantage.

### **Languages**

* Active knowledge of **Dutch** , **French** , and **English**.

### **Location**

* **Brussels, Belgium**
* **Hybrid** working model.