Ready to take your skills in Data Platforms & Cloud to the next level?

At

SDG Group , we’ve been turning data into real business impact for more than 30 years. We are a integral consultancy 100% specialized in

Data, Analytics and Artificial Intelligence , recognized by

Gartner, Penteo and Everest Group .
Our

Data Platform & Cloud Engineers

work with cutting-edge technologies such as

Azure, AWS and Google Cloud , designing, optimizing and scaling data platforms for leading

IBEX-35 and Fortune 500 companies .
Our

Triple Expertise

combines business vision, deep technical knowledge and strategic partnerships with technologies such as Microsoft, Databricks, Snowflake, AWS and Google Cloud.
With more than 1.000 projects delivered every year and highly specialized teams, we build scalable data ecosystems and solutions that reach production.
If you want to grow in the world of data, this is the place to be. Come join us

What will your day-to-day look like?

Create and manage users, groups, and service accounts to ensure secure and appropriate access using policies, roles,



RBAC, management units, etc.

Deploy, administer, and take responsibility for maintaining Azure/AWS/GCP solutions

(Compute, Storage, Network, Security, Governance, etc.).

Automate tasks using

custom scripts

(PowerShell, CLI, Python…).

Use Billing and Cost Management tools to analyze spending and usage trends.

Identify underutilized resources and recommend right-sizing, providing expert advice on cost-efficient use of resources.

Collaborate with other teams and departments, both within the Platform team and with other stakeholders involved in the projects (developers, project managers, business users, etc.).

Manage monitoring and alerting tools to detect inconsistencies and/or errors in the platform.

Resolve complex and critical incidents and outages, including diagnosing issues and coordinating and implementing workarounds.

Create and maintain documentation, technical manuals, contingenc

📌 Data Platform (Madrid)
🏢 Sdg Group
📍 Madrid