Our company keeps growing – and we want you to be part of the journey!
Are you a Cloud Engineer with strong expertise in Data Management and Big Data platforms?
We have an exciting opportunity to work on an enterprise-scale data platform, collaborating with international teams in a fully remote environment.
Todos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.
Why join us?
People come first: we prioritize your growth, well-being, and career development.
Work on innovative data solutions using Azure and Databricks.
The opportunity
You will join the Data Solutions team supporting a large-scale data platform. Your main focus will be on data lake management, data access governance, security, and architecture best practices, helping teams design and operate scalable data solutions.
Key Responsibilities
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.
Key Requirements
+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).
Nice to Have
Experience with Databricks Unity Catalog.
Experience with Pulumi.
Experience with Data Mesh and data product architectures. xohynlm
Location: Full Remote (Spain)
Schedule: Flexible 40h/week
What we offer
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
If this sounds like you, we'd love to meet you!
Please submit your CV in English.