Impressit is looking for a strong Senior Python Developer / Tech Lead to join a high-impact energy trading and quantitative analytics project for a global client. You'll collaborate with international teams of quants, analysts, and traders to design and build robust backend and data-intensive systems, contributing directly to the digital transformation of commodity trading.

📍 Location: Preferably Krakow (hybrid – 1 day/week in the office)

What will you do?

— Develop and lead the design of scalable, high-performance backend systems using FastAPI (or Flask/Django) with modern async programming (asyncio, concurrency)
— Collaborate with quant developers and analysts to translate mathematical models (PnL, greeks, volatility, etc.) into production-grade Python services
— Work hands-on with Azure services (ADF, Key Vault, Databricks, Synapse, Storage, etc.) and/or AWS equivalents
— Build and optimize data engineering pipelines using Spark, PySpark, and lakehouse architectures
— Own and drive CI/CD practices using GitHub Actions, Azure DevOps, and infrastructure-as-code (Terraform)
— Write clean, testable, and maintainable code with comprehensive testing coverage (PyTest, BDD, unit/integration tests)
— Apply system design and architecture principles to ensure reliability, scalability, and maintainability
— Occasionally contribute to frontend components using ReactJS and TypeScript
— Provide technical leadership and mentorship to other engineers in the team
— Engage in community building initiatives like internal CoPs (communities of practice)

As a plus:

— Experience in the energy or commodity trading domain
— Knowledge of financial concepts: PnL, greeks, volatility, partial derivatives, etc.
— Familiarity with Kafka, Airflow, Kinesis, Redshift, Glue, Conda
— Understanding of advanced concurrency, event-driven architecture, or Tornado
— Experience with technical documentation tools like MKDocs
— Exposure to planning systems (e.g., BPC) and project/scrum team leadership

What we expect?

— 6–12 years of commercial experience in Python development
— Proven expertise with FastAPI and asynchronous processing in Python
— Experience with cloud platforms: strong Azure knowledge (ADF, Databricks, Synapse) and/or AWS equivalents
— Strong background in data engineering: Spark, data lakes, ingestion & transformation pipelines
— Experience with GitHub Actions, Azure DevOps, and Terraform for CI/CD and infrastructure management
— Solid understanding of system architecture and ability to lead technical design discussions
— Familiarity with REST APIs, OAuth2, web security, and DevOps best practices
— Strong communication skills and experience working with cross-functional international teams
— Exposure to financial/trading systems or direct collaboration with quants/traders is highly desirable

Careers

Employee benefits