We are seeking a highly skilled Azure Cloud Engineer with a strong focus on data platform architecture, data governance, and cloud infrastructure automation.
This role is part of a large-scale data platform initiative for a global client, supporting cross-functional teams in a distributed environment.
Key Responsibilities :
Design and implement data platform solutions in Azure, focusing on Identity and Access Management (IAM), permissions management, and secure storage integration.
Manage and optimize the Azure Data Lake environment, ensuring compliance with enterprise-level security and governance standards.
Support and enforce Data Mesh architectural principles to enable decentralized data product sharing.
Resolve incidents and service requests related to big data infrastructure (Databricks, Data Factory, Key Vault, firewall configs, etc.).
Collaborate with other teams on solution architecture, including networking, infrastructure design, and integration of new cloud services.
Automate and monitor cloud deployments using Infrastructure as Code and CI / CD pipelines.
Required Skills & Experience :
Solid hands-on experience with Azure Data Lake Gen2, Databricks (mandatory), and Azure Data Factory.
Strong understanding of Azure security concepts : RBAC, ACLs, AAD, Key Vault.
Knowledge of Data Mesh principles and data governance frameworks.
Scripting / programming skills in Python.
Familiarity with Infrastructure as Code tools (Pulumi, Terraform).
Experience with CI / CD pipelines and cloud-native deployment practices.
Knowledge of Kubernetes and Azure Kubernetes Service (AKS) is a plus.
Fluent English (C1 level or higher) is essential.
Benefits :
Tailored training programs : up to €1,200 / year per employee.
True flexibility to work your way.
Monthly check-ins and annual 360º evaluations to support your growth.
Private health insurance, flexible compensation, and Wellhub for your overall wellbeing.
Active tech communities to learn and share knowledge.
Amazing team events.
Others :
The employee will adhere to information security policies. This includes access to confidential information related to the project they are working on, complying with security policies and internal policies of the company and the client, and signing an NDA.
Data Expert • España, ES