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 Were 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.
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 moder...
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 Were 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.