Overview
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
Turkiye
CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
- Diversity of tasks and projects
- Assessment center for objective review of competency level
- Personal development plan
- Mentoring programs and leadership development
- Certification and professional development support
- Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
- English courses taught by certified teachers
CORPORATE BENEFITS
- Extra leave days
- Referral bonuses
COMPENSATION PACKAGE
- Competitive compensation paid in USD
- Regular salary and performance reviews
MEDICAL & HEALTHCARE
- Private health insurance
- Well-being events
WORKING ENVIRONMENT
- Recreation areas and kitchens
- Tea, coffee, and snacks
- Well-being events
- Sports equipment and game consoles
- IT Equipment
- Microsoft's Software Assurance Home Use Program (HUP)
[epamgdo] Turkiye (About EPAM)
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
[epamgdo] Turkiye (CVs in English)
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.