Remote Cloud Data Engineer: Azure Databricks & Data Lake

Training budget for certifications Flexible working hours Private medical insurance Flexible remuneration options Team-building activities Internal tech communities, * Manage and evolve the enterprise Data Lake architecture on Azure.

• Implement Infrastructure as Code (IaC) using Pulumi to manage Databricks Unity Catalog securables.
• Design and deploy secure access architectures, following least-privilege and compliance standards.
• Automate and resolve technical tickets related to data platform operations.
• Contribute to the evolution of the company's Data Mesh and Data Products principles.
• Collaborate with other engineering teams to support data sharing and integration initiatives.
• Provide guidance for designing and deploying data solutions on Azure with best practices for infrastructure and automation.

An innovative tech company is seeking a Cloud Engineer to join their Data Solutions team. You will manage and evolve an enterprise data platform, focusing on data lake management and architecture best practices. Essential requirements include 4 years of experience in Cloud Engineering, hands-on Azure and Databricks expertise, and knowledge in data governance. This fully remote role offers flexible working hours, a training budget, and comprehensive benefits including medical insurance., * 4 years of experience in Cloud Engineering or Data Engineering.

• Hands-on experience with Azure Cloud.
• Azure Databricks experience is mandatory.
• Experience with Data Lakes, especially ADLS Gen2.
• Knowledge of Data Governance and RBAC access control.
• Experience implementing Infrastructure as Code (IaC).
• Experience with CI/CD pipelines using GitHub and Azure DevOps.
• Excellent English (B2+ minimum).