Anunciado 1 de julio
Tipo de jornada
Completa
Tipo de contrato
Indefinido
Salario
Salario sin especificar
Estudios mínimos
Sin especificar
Nivel
Sin determinar
Número de vacantes
1
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Descripción del empleo

Who we are...


AWWG is the global fashion group that integrates the brands Pepe Jeans London, Hackett, and Façonnable, and is the licensed distributor for Tommy Hilfiger, Calvin Klein, Donna Karan, DKNY and Karl Lagerfeld in Spain and Portugal.



The project!


As an BI & Analytics Coordinator you will design, develop, and mantain robust data pipelines and analytical solutions, as part of our Business Technology Team based in our Barcelona Office (Sant Feliu de Llobregat)



What will the role entail?


  • Design, develop, and maintain scalable data pipelines and ETL processes.

  • Implement data models and analytical solutions to support business objectives.

  • Collaborate with stakeholders to understand data needs and translate requirements into technical solutions.

  • Optimize data workflows for performance, reliability, and efficiency.

  • Conduct data analysis to uncover insights and drive data-driven decision-making.

  • Stay up-to-date with emerging technologies and best practices in data engineering and analytics.


What do we offer?


  • Great international working environment.

  • Corporate Offices in Sant Feliu de Llobregat (Barcelona), with canteen and parking available.

  • Corporate remote work policy.

  • Flexible working hours.

  • Flexible benefits.

  • Discounts on the brands of the Group.

  • Free company shuttle to the offices from Barcelona center.



Requisitos mínimos
  • Advanced proficiency in Python and SQL.

  • Expert-level experience in PowerBI data modeling and DAX optimization for self-service on large datasets.

  • Hands-on experience with Apache Airflow.

  • Expertise in ETL pipelines, database management, and data warehousing, particularly with Google GCP BigQuery.

  • Fluent level of English.

  • Result-oriented, collaborative team player, and eager for continuous learning and development.


Additional Valuable Skills:


  • Communication and project management skills.

  • Knowledge of Spark and distributed computing.

  • Experience with SAP as a data source.

  • Knowledge of Terraform.

  • Mid-level of Spanish.



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