data engineer in financial services

The client is a well-known financial institution delivering key financial projects and supporting data engineering initiatives.

• Develop and maintain scalable, well-tested backend services using Python;
• Build and manage data pipelines and backend APIs supporting real-time and batch data flows;
• Design database schemas and collaborate with data infrastructure teams;
• Ensure backend reliability, security, and performance;
• Participate in code reviews, testing, and continuous delivery processes;
• Collaborate across teams and locations, contributing to a strong engineering culture.

• At least 6 years of Python experience;
• Experience in data engineering;
• Comfort with linting, unit and integration testing, code reviews, Docker, CI/CD, and monitoring;
• Proficiency with Linux systems and ability to work with a Windows laptop;
• Strong communication skills and ability to work effectively in a diverse, distributed team;
• Must be able to start within 1 month and be eligible to work in Europe;
• Nice to have: Snowflake experience, familiarity with column-oriented processing libraries, SQL skills, open source experience.

• Contract employment.