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# Senior Python Data Engineer (AI & Data Migration) Job ID: JP054841

- **Company:** Itproposal
- **Location:** Aalter, Belgium
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Apache HTTP Server, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Transformation Services, Python (Programming Language), Performance Tuning, SAS (Software), SAS/Base, Software Engineering, SQL Databases, Workflow Management Systems, Working Model 2D, Parquet, Macros, GitHub Copilot, Multi-Agent Systems, Apache Spark, Pandas, Pyspark, Data Pipelines
- **Published:** July 17, 2026
- **Apply:** https://be.engineering.jobs/nl/vacature/senior-python-data-engineer-ai-data-migration-job-id-jp054841-7944637

## About the Role

Apache, SQL, Python

## Description

### **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.


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