Data Engineer

Your responsibilities: o Provisioning and configuring Databricks workspaces using Terraform, CLI, and SDK. o Managing workspace-level settings, including clusters, libraries, compute policies, and access control. o Defining and managing catalogs, schemas, and tables across workspaces using Unity Catalog. o Ensuring security, scalability, and high availability of the data platform. o Contributing to the implementation of the Data Mesh paradigm across domains. o Acting as a technical advisor for data scientists, analysts, and business users. o Managing onboarding, training, and enablement programs to scale platform adoption. o Maintaining technical documentation and contributing to agile ceremonies and sprint planning.

Your profile: o Bachelor's degree in Computer Science, Data Engineering, or a related field. o More than 5 years of experience with cloud platforms for big data, preferably Azure or GCP. o Hands-on experience with Databricks, Delta Lake, and Spark; knowledge of Kafka, Flink, or similar frameworks is an advantage. o Experience building data pipelines using tools such as Apache Airflow, Data Factory, or Apache Beam. o Knowledge of Terraform, Python, and CI/CD tools, such as GitHub Actions. o Thorough knowledge of data management, monitoring, security, and data privacy. o Excellent communication skills across cross-functional teams. o Fluency in English; additional language skills will be an advantage.