Senior Python Data Engineer - Banking - Paris (Hybrid)

• 12+ years of Python development, with strong OOP and software design principles.
• Hands-on data engineering with very large datasets (hundreds of millions of records).
• Strong SQL (PostgreSQL, MySQL or SQL Server) and practical MongoDB experience, covering querying, data modelling and performance tuning.
• Linux and Bash, with Autosys or similar job scheduling tools.
• Git (branching, pull requests), Agile delivery and JIRA.
• TDD and BDD (Behave), with unit testing in PyTest.
• Previous banking or financial services experience.
• Fluent English.

Nice to have:

• Other database technologies, data visualisation tools, machine learning or AI frameworks.

• Design, build and optimise scalable, maintainable Python applications and data processing solutions.
• Handle schema design, query optimisation and data integrity on very large SQL databases.
• Develop and tune MongoDB and NoSQL data solutions.
• Integrate, transform and analyse complex datasets to improve reporting, analytics and downstream applications.
• Deploy and automate applications and data workflows in Linux, and build Autosys scheduling workflows.
• Troubleshoot data discrepancies, performance bottlenecks and production issues.
• Mentor junior team members and promote engineering best practice.
• Work with stakeholders to turn business and regulatory data needs into solutions.