Staff Analytics Engineer: Architect Data Foundations & BI

Preply

Barcelona

Presencial

EUR 60.000 - 80.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Flexible working hours
Remote work opportunities
Professional development programs

Descripción de la vacante

An innovative Ed-Tech company located in Barcelona is looking for a Staff Analytics Engineer. In this role, you'll design and evolve analytical data models, define engineering standards, and optimize data pipelines. The ideal candidate has extensive experience in analytics engineering, strong SQL and Python skills, and a proven track record of building scalable data models. This role also involves collaborating with various teams to drive data strategy and enhance product experimentation, offering a unique opportunity to shape the future of education.

Formación

  • Extensive experience in analytics engineering or related roles.
  • Expert-level proficiency in SQL and experience with Python.
  • Proven track record of designing scalable analytical data models.
  • Advanced hands-on experience with dbt, Looker, or similar tools.
  • Strong business acumen for data-backed solutions.

Responsabilidades

  • Lead design and evolution of core analytical data models.
  • Define and champion analytics engineering standards.
  • Build and optimize ETL/ELT pipelines.
  • Own and evolve BI and semantic layers.
  • Influence company-wide data strategy.

Conocimientos

Analytics engineering
SQL
Python
Data modeling
Communication

Herramientas

dbt
Looker
Airflow
AWS
Google Cloud

Descripción del empleo

An innovative Ed-Tech company located in Barcelona is looking for a Staff Analytics Engineer. In this role, you'll design and evolve analytical data models, define engineering standards, and optimize data pipelines. The ideal candidate has extensive experience in analytics engineering, strong SQL and Python skills, and a proven track record of building scalable data models. This role also involves collaborating with various teams to drive data strategy and enhance product experimentation, offering a unique opportunity to shape the future of education.
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