We are seeking a Senior Data Engineer to join our growing team. In this role, you will play a critical part in maintaining and improving large-scale data integrations, ensuring reliability, scalability, and performance. You will take ownership of debugging complex issues, resolving incidents, and working closely with both internal and external stakeholders. This is a hands-on position with a strong impact: from stabilizing pipelines to implementing process improvements that make our data engineering practice more effective and proactive. The project focuses on large-scale data integration for the travel and hospitality sector. Required skills • Strong proficiency in Python and proven experience working with large-scale datasets. • Solid background in designing, building, and maintaining data processing pipelines. • Experience with cloud platforms (GCP, AWS, or Azure). • Hands-on skills with SQL and data storage/querying systems (e.g., BigQuery, BigTable, or similar). • Knowledge of containerization and orchestration tools (Docker, Kubernetes). • Ability to troubleshoot and debug complex technical issues in distributed systems. • Strong communication skills in English, with the ability to explain technical details to both technical and non-technical stakeholders. • Experience using AI coding assistants (e.g., Cursor, GitHub Copilot, or similar) in day-to-day development tasks. • Experience with Google Cloud services such as Pub/Sub, Dataflow, and ML-driven data workflows. Would be a plus • Experience with airline, travel, or hospitality-related datasets. • Exposure to observability and monitoring tools for large-scale data systems. • Experience building AI-powered solutions or integrating AI pipelines/APIs into software projects. • Experience with 2nd tier PMS market like Tesipro or Maestro. Or any property management systems APIs. Responsibilities • Maintain and enhance existing data integrations, ensuring the reliability, accuracy, and quality of incoming data. • Lead the investigation and resolution of complex incidents by performing deep technical analysis and debugging. • Communicate effectively with stakeholders (including customer-facing teams and external partners) by providing transparent and timely updates. • Collaborate with partners to troubleshoot integration issues and ensure smooth data flow. • Identify opportunities to improve processes, tooling, and documentation to scale and streamline data operations. • Contribute to the design and delivery of new data engineering solutions supporting business-critical systems.
