Analytics Platform Engineer - Self-Service & Insights

BME | Bolsas y Mercados Españoles; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading financial organization in Madrid seeks an Analytics Engineer to develop a self-service ecosystem using tools like Azure and Power BI. The role involves building datasets, curating high-quality analytical components, and supporting users in their analytics needs. Ideal candidates will have strong skills in Azure, Databricks, SQL, Python, and Power BI, along with a degree in a technical field. A passion for teaching and improving user capabilities is essential, as well as experience with data modeling and analytics environments.

Formación

• Strong experience with Azure, Databricks, SQL, Python, and Power BI.
• Solid background in preparing data for analytics using modern patterns.
• Clear communication skills to translate technical concepts for users.
• Experience applying testing, documentation, and version control.
• Practical understanding of tuning analytics environments.

Responsabilidades

• Build understanding of operational datasets for usability enhancements.
• Curate and maintain reusable datasets for self-service.
• Provide guidance and training for business users.
• Refine query performance and storage structures in the platform.
• Handle complex analytical builds for optimization.

Conocimientos

Azure

Databricks

SQL

Python

Power BI

Data modeling

Clear communication

Educación

Degree in a technical or quantitative field

Herramientas

dbt

Descripción del empleo

A leading financial organization in Madrid seeks an Analytics Engineer to develop a self-service ecosystem using tools like Azure and Power BI. The role involves building datasets, curating high-quality analytical components, and supporting users in their analytics needs. Ideal candidates will have strong skills in Azure, Databricks, SQL, Python, and Power BI, along with a degree in a technical field. A passion for teaching and improving user capabilities is essential, as well as experience with data modeling and analytics environments.