Lead Full-Stack Engineer (Python Data)

Responsibilities

• Design and deliver Python services and data pipelines using FastAPI and background jobs
• Build and tune data processing and reporting components with Pandas, Polars, DuckDB and openpyxl
• Develop end-to-end ETL/ELT workflows and connect them to analytics platforms
• Work with orchestration tools such as Airflow, dbt and Streamlit
• Define scalable data architectures using data lakes, medallion architecture and star schema
• Contribute to Azure cloud-native implementations using Container Apps, Storage, Service Bus and SignalR
• Implement and operate CI/CD pipelines using GitHub Actions
• Apply Infrastructure as Code with Bicep, Terraform and CDK to automate environments
• Leverage AI-assisted development tooling like GitHub Copilot and Claude in spec-driven workflows
• Collaborate with engineering, data and business teams to deliver outcomes across domains

Languages

Required

• 5+ years of experience with Python (FastAPI, data processing, backend services)
• Hands-on experience with Pandas, Polars, DuckDB and Excel processing workflows
• Solid background in data pipeline patterns such as ETL/ELT
• Practical experience across the Azure ecosystem (compute, storage, messaging)
• Working knowledge of CI/CD and DevOps practices in production teams

Nice to have

• Strong system design skills with excellent problem-solving ability
• English proficiency at B2 (Upper-Intermediate) level or higher
• Experience with Airflow, dbt and/or Streamlit in production settings
• Knowledge of Snowflake features such as streams, tasks, time travel and stored procedures
• Familiarity with .NET for legacy systems integration
• Frontend exposure using Angular or Next.js

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