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Senior Python Data Engineer JP054841

ITProposal


Job Location:

Brussels - Belgium

Monthly Salary: Not provided by the employer
Posted: 16 July 2026 (30+ days ago)
Application Deadline: 13 October 2026
Vacancies: 1 Vacancy

Job Summary

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 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.