Integration Engineer

The Lead Integration Engineer will play a crucial role in modernizing the data exchange within Research and Development systems. This role focuses on integrating and building scalable, maintainable solutions to support scientific work.

Design and implement API-first architectures. Build reusable integration capabilities. Drive standardization of API contracts, schemas, and governance.

Lead adoption of event-based integrations using Kafka. Implement Infrastructure as Code using Terraform. Define CI/CD standards using GitHub Actions.

Participate in architecture and design reviews. Mentor fellow engineers and establish best practices. Must Haves: 10+ years of experience in software development.

Proficiency in Python and FastAPI. Experience with Databricks and Data Lake architecture. Understanding of REST APIs and microservices architecture.

Familiarity with event-driven architecture, particularly Kafka. Experience with Kubernetes and Azure services. Solid grasp of Infrastructure as Code (IaC) principles, particularly using Terraform.

Expertise in CI/CD pipelines and GitHub Actions. Design experience in distributed systems and software development life cycle (SDLC) best practices. Nice to Haves: Experience in API management and Databricks Zerobus.

Knowledge of event sourcing and Apache Flink. Familiarity with data mesh concepts. Other Details: Location: Warsaw (hybrid work setup).