Integration Engineer (Python & AWS)

You will be working on a project with a US-based company building a revenue management platform for the hospitality industry that automates pricing decisions, inventory optimization, and demand forecasting for thousands of hotels worldwide. The tech stack is built around Python, AWS, and modern data integration patterns. The company works with well-established companies and startups in their early stages (MVPs).

• 3+ years of commercial experience in a Data / Systems / Integration / Platform Engineering role
• Strong experience with Python, especially in ETL pipelines, API clients, and XML / JSON parsing
• Hands-on knowledge of AWS services such as Lambda, S3, Batch, DynamoDB, and CloudWatch
• Practical experience with REST API integrations and webhook handling
• Experience working with file-based integrations, including batch file processing workflows
• Basics of Infrastructure as Code, preferably AWS CDK or Terraform
• Experience working on backend-oriented integrations rather than large-scale analytical data platforms
• English level B2 to cooperate with American clients
• Polish level C1 to communicate easily within the team
• Strong analytical thinking to break down complex integration problems and messy external APIs into clean internal data models
• Proactive communication, flagging blockers early and documenting decisions
• Comfortable with ambiguity and navigating existing codebase tech debt
• Ownership mindset, comfortable working end-to-end on integrations with minimal handholding

Nice to have:

• Experience working with SOAP, HTNG, or Parquet
• Experience working with Apache Iceberg, DBT, and Redshift
• Familiarity with AWS Step Functions or the Serverless Framework
• Familiarity with hospitality systems or hotel technology ecosystem

• Onboarding new hotel clients onto the project's platform by integrating their Property Management Systems with the pricing platform
• Building and maintaining integration pipelines between hotel systems and the client platform using webhooks, batch file processing, and scheduled API polling
• Analyzing external technical documentation and understanding integration requirements for different PMS providers
• Mapping external data models into internal platform structures in a reliable and scalable way
• Developing and maintaining Python-based ETL processes for backend integrations
• Working with AWS services to support and extend the integration architecture
• Improving existing integrations by strengthening error handling, observability, and configuration standards
• Troubleshooting integration issues and ensuring data flows work reliably in production
• Contributing to a growing integration codebase with a focus on maintainability and future extensibility