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Python Engineer, Data Platform

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Description

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

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.)

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

Data Engineering jobs by country — openings, pay and top skills →