Python Engineer Data Platform

What we’re looking for:

• 3+ years in software engineering, Python and SQL experience


• Experience with data systems, cloud technologies, or AI-assisted tools is a plus


• Product-oriented mindset, comfortable navigating ambiguity, and impact-focused

Nice to have:

• Experience with Kubernetes, Kafka, or federated query engines (e.g., Trino)


• Familiarity with monitoring/observability tools like Grafana, Prometheus, CloudWatch


• Experience with AWS or other cloud platforms


• Hands-on experience with AI coding assistants (Copilot, Claude Code, Codex, etc.)

Join the Data Platform team to build and maintain data-driven applications, including AI-powered data access tools. Work on a mix of legacy, improved, and greenfield projects with firm-wide impact.

Why join:

• High-visibility, high-impact role across the firm


• Shape AI-driven development and data access practices


• Work on cutting-edge tech in institutional finance


• Collaborative culture with competitive compensation

,[Develop and enhance solutions for data and metadata access, Build reliable, scalable applications and operational processes, Experiment with AI-assisted development tools and share best practices, Collaborate in a distributed team, taking ownership of impactful projects] Requirements: Python, SQL, Cloud, Kubernetes, Kafka, Grafana, Prometheus, CloudWatch, AWS, Cloud platform, AI Additionally: Sport subscription, Private healthcare.