Apps Dev Tech Lead Analyst

Citi

Poland
Base: zł268,390.00 - zł457,010.00; bonus/equity: a...
Hybrid
Python data engineering stack experience
High-performance data stores and query engines
Real-time streaming analytics technologies
The role involves guiding the technical direction and implementation of a next-generation quantitative development platform for Equities Cash, Derivatives, and Prime businesses

Job Summary

  • The role involves guiding the technical direction and implementation of a next-generation quantitative development platform for Equities Cash, Derivatives, and Prime businesses.
  • Candidates will champion engineering excellence through hands-on feature creation, rigorous code quality reviews, and mentoring junior engineers to establish robust coding standards.
  • Benefits include a competitive base salary ranging from zł268,390.00 to zł457,010.00, employer-paid pension contributions, private medical care, and a hybrid working model.

Matching Summary

The role involves guiding the technical direction and implementation of a next-generation quantitative development platform for Equities Cash, Derivatives, and Prime businesses.

Salary

Base: zł268,390.00 - zł457,010.00; Bonus/Equity: Annual discretionary incentive award available; Benefits: Employer paid Defined Contribution Pension Plan 6%, Private Medical Care, Life Insurance, Sport Card

Skills & Requirements

Must-have

  • Python data engineering stack experience
  • High-performance data stores and query engines
  • Real-time streaming analytics technologies
  • Cloud container technologies AWS Azure GCP
  • Full-stack HTML5 web development skills
  • Generative AI prompt engineering and RAG pipelines

Nice-to-have

  • Understanding of Equities Cash Derivatives market mechanics
  • Familiarity with low-latency programming languages Rust C++
  • Passion for markets and quantitative research
  • Experience mentoring junior engineers
  • Proven success in enhancing developer experience

Key Requirements

  • Extensive background in delivering production-grade data-centric applications
  • Demonstrated expertise in Python data engineering stack
  • Proven success in architecting scalable secure reusable components

Work Rights

Not specified

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