emagine Polska is looking for a Lead Data Platform Engineer to join a project focused on developing a cloud-native Data Platform for a large-scale e-commerce marketplace. You will play a key role in enhancing developer experience and streamlining data processes through automation, standardization, and the implementation of modern data engineering practices.
Key responsibilities
- Design and develop tools that standardize, automate, and simplify Data Platform operations.
- Build and maintain internal CLI tools and develop Data Product templates based on modern engineering practices.
- Design and implement Agentic AI workflows and developer-assistance capabilities to improve platform usability.
- Maintain and enhance a shared Apache Airflow platform based on Cloud Composer.
- Develop and maintain infrastructure-as-code assets and Terraform modules while contributing to GitOps adoption.
Requirements
- Strong commercial experience with Python development and Google Cloud Platform (GCP).
- Practical experience with BigQuery, Apache Airflow, and cloud-based data platforms.
- Proven experience building platform engineering, developer tooling, or internal self-service solutions.
- Knowledge of Infrastructure as Code practices, Terraform, and GitOps principles.
- Experience with PySpark or Apache Spark ecosystems and modern software delivery practices.
What we offer
- Opportunity to work on a large-scale, cloud-native data platform in a fully remote environment.
- Collaboration with cross-functional teams including data engineering, analytics, and machine learning.
- Engagement in cutting-edge projects involving Agentic AI workflows and developer-assistance tools.
- Professional development in a modern, Agile-driven engineering culture.