Lead Full-Stack Engineer (Python Data)

Job description

We are seeking a Lead Full-Stack Engineer (Python Data) to build scalable, data-centric products that support global consulting and advisory services. You will lead work across software engineering, data platforms and AI-assisted delivery, shaping systems for analytics, reporting and enterprise decision-making. Help us design cloud-native Azure solutions and robust pipelines—apply now!

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

Requirements

- 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

- Deep understanding of data modeling approaches including star schema and medallion architecture

- Demonstrated ability to build distributed systems and design robust APIs

- Practical experience across the Azure ecosystem (compute, storage, messaging)

- Working knowledge of CI/CD and DevOps practices in production teams

- Strong system design skills with excellent problem-solving ability

- Consulting mindset with the ability to align multiple stakeholders and priorities

- English proficiency at B2 (Upper-Intermediate) level or higher

Nice to have

- Experience with Airflow, dbt and/or Streamlit in production settings

- Knowledge of Snowflake features such as streams, tasks, time travel and stored procedures

- Experience with event-driven architectures and messaging systems

- Familiarity with. NET for legacy systems integration

- Frontend exposure using Angular or Next.js

- Experience with distributed processing and async workflows