Python Developer

In this role, you will contribute to the development of a secure, cloud-native data platform using AWS and Snowflake. Your work will involve designing automated data workflows, building scalable solutions, and supporting migration activities from legacy systems to modern architectures. This is an exciting opportunity to work with cutting-edge technologies and enhance your expertise in cloud data engineering practices.

Responsibilities

• Design and develop automated data pipelines for processing and integration
• Build scalable Python applications and backend services
• Support development of cloud-based solutions leveraging AWS and Snowflake
• Implement CI/CD pipelines for automation using GitLab
• Create automated testing to validate data integrity and system performance
• Collaborate with cross-functional teams to ensure design alignment and best practices
• Assist in migrating data from legacy environments to modern platforms
• Monitor and optimize performance for operational reliability
• Participate in Agile workflows including sprint planning and reviews
• Stay updated on emerging technologies and incorporate best practices

• 5+ years of Python development experience with strong programming fundamentals
• Experience in building data engineering solutions and working with Snowflake or relational databases
• Proficiency in writing SQL for data processing and querying
• Hands-on expertise in CI/CD pipeline automation using GitLab
• Familiarity with AWS services for data platforms and deployments
• Knowledge of automated testing frameworks for pipeline and application validation
• Practical experience working in Agile environments with JIRA tracking tools
• Understanding of ITIL processes within support environments
• Strong problem-solving, analytical, and communication skills
• Ability to deliver high-quality solutions in a fully remote environment

Nice to have

• Experience with containerization technologies such as Docker or Kubernetes
• Familiarity with REST API development and integration
• Knowledge of DevOps or DataOps practices for automation and monitoring
• Awareness of security and compliance standards for cloud-based data solutions

Pulled from the full job description

• Employee stock purchase plan
• Employee assistance programme
• Company pension
• Private medical insurance
• Cycle to work scheme
• Tech scheme, * EPAM Employee Stock Purchase Plan (ESPP)
• Protection benefits including life assurance, income protection and critical illness cover
• Private medical insurance and dental care
• Employee Assistance Program
• Competitive group pension plan
• Cyclescheme, Techscheme and season ticket loans
• Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program