Data Modeller

We are looking for a skilled Data Modeller to design and maintain scalable data models that support operational systems, analytics, and enterprise reporting. The role involves working closely with technical and business teams to ensure data structures are efficient, consistent, and aligned with governance standards.

Key Responsibilities

• Design conceptual, logical, and physical data models.
• Translate business and analytical requirements into scalable data structures.
• Review and improve existing databases, schemas, and data models.
• Support data quality, integrity, and consistency across platforms.
• Maintain modelling standards, documentation, and metadata.
• Collaborate with Data Engineering, Analytics, and Architecture teams.
• Contribute to governance and best practices for data modelling.

Requirements

• Strong experience with relational and dimensional data modelling.
• Solid SQL and database design knowledge.
• Experience with data warehouses, data lakes, and cloud-based platforms.
• Hands-on experience with modelling tools such as ERwin, ER/Studio, Lucidchart, or similar.
• Ability to work with both technical and non-technical stakeholders.

• Experience with Databricks, Spark, and Delta Lake.
• Exposure to Azure or GCP environments.
• Knowledge of PostgreSQL, SQL Server, Oracle, or MySQL.
• Familiarity with Git, CI/CD, and Terraform.
• Basic scripting experience with Python or Bash.

Stack:

• Databricks, Spark y Delta Lake.
• Azure o GCP.
• PostgreSQL, SQL Server, Oracle o MySQL.
• Git, CI/CD y Terraform.
• Python o scripting básico.