Design and develop Python-based data extraction and processing pipelines
Implement robust connections to Google Cloud Platform (GCP) services (BigQuery, Cloud Storage, Dataflow, Cloud Functions)
Build scalable data transformation and validation solutions for regulatory reporting
Develop and maintain PL/SQL procedures for complex database operations
Implement automated data quality assurance processes and audit trails
Optimize database performance for large-scale regulatory datasets
Collaborate with business analysts and regulatory teams to translate requirements into technical solutions
Integrate multiple internal banking systems and data sources
Ensure data lineage, compliance, and secure handling of sensitive financial data
Participate in continuous improvement initiatives, ensuring best practices in code quality, testing, and deployment
Maintain version control (Git) and CI/CD pipelines; support containerized deployments (Docker, Kubernetes)

6–9 years of experience in Python development and data engineering
Strong expertise in data processing, regulatory reporting, and cloud-based architecture
Python development: 5+ years, with Pandas, Polars, NumPy, SQLAlchemy, async programming, and testing frameworks (pytest/unittest)
GCP experience: BigQuery, Cloud Storage, Cloud Functions, Dataflow (1+ year hands-on)
PL/SQL & Oracle DB: 3+ years, including complex stored procedures, functions, packages, and performance tuning
Strong understanding of data pipelines, modeling, and processing workflows
Version control & CI/CD: Git, containerized deployments (Docker, Kubernetes)
Fluent in French (C1/C2) and professional working proficiency in English (B2/C1).

Senior Python Developer, Data Scientist

Key skills