Analytics Engineer — Hybrid Barcelona, Data & Insights

Scopely

Barcelona

Híbrido

EUR 60.000 - 90.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Scopely in Barcelona on a hybrid basis is seeking an Analytics Engineer to join our Playgami team. You will partner with engineering, product, and analytics to deliver fast, accurate insights and scalable data products in a rapidly growing environment.

You will design data models, ELT pipelines, and Looker explorations, while ensuring quality and consistency of metrics across the data catalog. The role emphasizes collaboration, modern data-stack tooling, and applying analytics to product

Formación

  • 3+ years of experience in a relevant data/analytics role.
  • Experience with the modern data stack (BigQuery, Looker, dbt, Airflow).
  • Strong SQL skills and data modeling knowledge.

Responsabilidades

  • Collaborate with engineers, product teams, and analysts to create self-serve insight products that are fast, accurate, and elastic at a petabyte-scale.
  • Develop data models, ELT pipelines, and self-serve insights like Looker explores and dashboards.
  • Ensure data quality and consistent metrics across data products.
  • Work with cutting-edge tech (BigQuery, dbt, Looker).
  • Apply advanced analytics to predict player behavior (BQML).
  • Collaborate across teams to improve daily workflows and product outcomes.
  • Contribute across the full data stack and lifecycle.

Conocimientos

SQL
Data modeling
Collaboration
Analytical thinking
Problem solving

Herramientas

BigQuery
dbt
Looker
Airflow
GitHub

Descripción del empleo

Scopely in Barcelona on a hybrid basis is seeking an Analytics Engineer to join our Playgami team. You will partner with engineering, product, and analytics to deliver fast, accurate insights and scalable data products in a rapidly growing environment.

You will design data models, ELT pipelines, and Looker explorations, while ensuring quality and consistency of metrics across the data catalog. The role emphasizes collaboration, modern data-stack tooling, and applying analytics to product

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