Senior Cloud Data Engineer (AWS)

We are looking for a Senior Cloud Data Engineer with experience working with AWS and Databricks. The project involves creating a lakehouse solution, preparing a prototype to be presented at an industry event, and then executing a pilot implementation and further development of the platform. We are looking for someone who will actively support both the architecture and implementation of the solution, co-creating the foundations of a scalable data platform used for advanced analytics and business reporting. The project is implemented based on the modern Databricks ecosystem, medallion architecture, and best practices in Data Engineering. Optimal start of cooperation: November 2026. We are looking for you if: you have min. 5 years of IT experience, including min. 3.5 years of commercial experience with cloud data on AWS (Glue, Athena, DynamoDB), you have experience working with Terraform, you have experience working with Databricks, you have commercial experience processing large amounts of data using JSON, you know and use Python and PySpark, you use SQL at an advanced level across MS technology solutions and others, you know methods and fluently apply Git and CI/CD, you have experience with dbt, you create and optimize data processing solutions (ETL, ELT, etc.) preceded by technical design and alternative solutions (e.g., Apache Airflow), and you have experience with agile practices and tools.