Data Engineer

Deutsche Börse Prague Branch · Vollzeit

Praha, Tschechische Republik

Your responsibilities: • Provisioning and configuring Databricks workspaces using Terraform, CLI, and SDK. • Managing workspace-level settings, including clusters, libraries, compute policies, and access control. • Defining and managing catalogs, schemas, and tables across workspaces using Unity Catalog. • Ensuring security, scalability, and high availability of the data platform. • Contributing to the implementation of the Data Mesh paradigm across domains. • Acting as a technical advisor to data scientists, analysts, and business users. • Managing onboarding, training, and activation programs to scale platform adoption. • Leading technical documentation and contributing to agile ceremonies and sprint planning. Your profile: • Bachelor's degree in Computer Science, Data Engineering, or a related field. • More than 5 years of experience with cloud-based big data platforms, preferably Azure or GCP. • Hands-on experience with Databricks, Delta Lake, and Spark; knowledge of Kafka, Flink, or similar frameworks is a plus. • Experience building data pipelines using tools such as Apache Airflow, Data Factory, or Apache Beam. • Knowledge of Terraform, Python, and CI/CD tools such as GitHub Actions. • Thorough knowledge of data management, monitoring, security, and data protection. • Excellent communication skills across cross-functional teams. • Fluent English; additional language skills are a plus.