Azure Data Engineer - Remote, Databricks & Data Lake Expert
Role details
Job location
Tech stack
Job description
A dynamic data solutions company is seeking a Cloud Engineer to support a large-scale data platform in a fully remote capacity. The role involves managing Azure Data Lake architecture, implementing Infrastructure as Code with Pulumi, and ensuring data governance compliance. Candidates should possess over 4 years of Cloud or Data Engineering experience, particularly with Azure Databricks and Data Lakes. Competitive benefits include flexible working hours, training budgets, and private medical insurance.
Servicios
Training budget for certifications and learning Flexible working hours Private medical insurance Flexible remuneration options (meal vouchers, transport, childcare) Team-building activities and company events Internal tech communities for knowledge sharing Amazing team culture, * Manage and evolve the enterprise Data Lake architecture on Azure.
- Implement Infrastructure as Code (IaC) using Pulumi.
- Design and deploy secure access architectures.
- Automate and resolve technical tickets related to data platform operations.
- Contribute to the company's Data Mesh and Data Products principles.
- Collaborate with engineering teams for data sharing initiatives.
- Provide guidance for data solutions on Azure.
Requirements
- 4+ years of experience in Cloud Engineering or Data Engineering.
- Hands-on experience with Azure Cloud is required.
- Experience with Azure Databricks 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).
