Job Description
Senior Python Data Engineer
Location: Brussels, Belgium
Work Model: Hybrid
Start Date: ASAP
Contract Duration: 6 Months (Full-Time)
We are looking for an experienced Senior Python Data Engineer to join a cutting-edge data modernization initiative focused on migrating legacy ETL workloads to a modern Python-based data platform. This role is ideal for someone with strong Python data engineering expertise and hands-on experience leveraging AI-assisted development tools to deliver scalable, high-quality data solutions.
Key Responsibilities
- Design, develop, and validate Python-based data transformation and ETL solutions.
- Review, optimize, and enhance AI-generated Python code.
- Build robust, maintainable, and high-performance data pipelines.
- Contribute to the migration of legacy ETL processes to modern Python-based architectures.
- Develop and optimize data models, schema management, and Parquet-based solutions.
- Support PySpark implementations for large-scale data processing.
- Improve AI-assisted development workflows and multi-agent orchestration processes.
- Enhance workflow automation, validation mechanisms, and human-in-the-loop review processes.
- Collaborate with data engineers, architects, and domain experts to ensure successful project delivery.
Required Skills
- Python
- Pandas
- Polars
- PyArrow
- Parquet
- ETL / ELT Development
- Data Engineering
- Data Quality & Validation
- Schema Management
- Testing Frameworks
- AI-Assisted Development (e.g., GitHub Copilot)
- Workflow Orchestration
- Multi-Agent Systems
- Agentic Workflows
Nice to Have
- PySpark
- Experience with legacy SAS environments.
- Knowledge of SAS DATA Steps, PROC SQL, SAS Macros, and ETL processing patterns.
What We're Looking For
- 5+ years of hands-on Python development experience.
- Strong background in data engineering and modern ETL/ELT architectures.
- Experience using AI-assisted software development tools to improve productivity and code quality.
- Knowledge of workflow orchestration, automation, and agent-based systems.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities within cross-functional teams.
