Job 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

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

Required Skills & Experience

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

Languages

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  Active knowledge of Dutch, French, and English

Location

• Brussels, Belgium
• Hybrid working model.