Senior Data Analyst & Engineer — Remote (Spain)

Michael Page

Madrid

A distancia

EUR 45.000 - 75.000

Jornada completa

Hace 5 días
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Descripción de la vacante

Michael Page is seeking a Senior Data Analyst/Engineer for a freelance role with remote work in Spain. You will leverage Snowflake to design data models and analytical architectures, using SQL for data transformation and analytics, and build robust ETL/ELT pipelines.

You will also create data models and semantic layers for reporting and analytics initiatives, support BI platforms such as Power BI or Tableau, and contribute to AI/ML data structures and data quality controls.

Formación

  • Strong experience with Snowflake data modelling and analytical architecture design.
  • Advanced proficiency in SQL for data transformation and analysis.
  • Experience building data models and semantic layers for reporting and analytics initiatives.
  • Proven track record developing ETL/ELT pipelines from multiple sources.
  • Strong Python skills including Pandas, automation, and data processing.
  • Experience with Databricks, PySpark and cloud-based data platforms.
  • Hands-on Azure DevOps including CI/CD and release management.
  • Ability to implement data quality controls and validation processes.
  • Experience supporting BI solutions such as Power BI or Tableau.
  • Experience designing datasets for AI/ML and AI Agent consumption.

Responsabilidades

  • Build and optimize data models and semantic layers for reporting and analytics.
  • Develop and maintain ETL/ELT pipelines across multiple data sources.
  • Support BI solutions (Power BI, Tableau) and data quality controls.

Conocimientos

SQL
Data modelling
ETL/ELT pipelines
Python / Pandas
AI/ML data structures
BI reporting/analytics

Herramientas

Snowflake
Databricks
PySpark
Azure DevOps
Power BI
Tableau

Descripción del empleo

Michael Page is seeking a Senior Data Analyst/Engineer for a freelance role with remote work in Spain. You will leverage Snowflake to design data models and analytical architectures, using SQL for data transformation and analytics, and build robust ETL/ELT pipelines.

You will also create data models and semantic layers for reporting and analytics initiatives, support BI platforms such as Power BI or Tableau, and contribute to AI/ML data structures and data quality controls.

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