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Data Engineer Coordinator

hace 2 meses

Barcelona, Barcelona, España All We Wear Group A tiempo completo

About All We Wear Group

All We Wear Group is a global fashion conglomerate that encompasses the brands Pepe Jeans London, Hackett, Façonnable, Tommy Hilfiger, Calvin Klein, Donna Karan, DKNY, and Karl Lagerfeld in Spain and Portugal.

The Role

We are seeking an experienced Data Engineer Coordinator to join our Business Technology Team in Barcelona. As a key member of our team, you will design, develop, and maintain robust data pipelines and analytical solutions to support our business objectives.

Key Responsibilities

  • Data Pipeline Development
    • Design and develop scalable data pipelines and ETL processes to extract, transform, and load data from various sources.
  • Analytics Solutions
    • Implement data models and analytical solutions to support business decision-making.
  • Collaboration and Communication
    • Work closely with stakeholders to understand data needs and translate requirements into technical solutions.
  • Performance Optimization
    • Optimize data workflows for performance, reliability, and efficiency.
  • Data Analysis
    • Conduct data analysis to uncover insights and drive data-driven decision-making.
  • Professional Development
    • Stay up-to-date with emerging technologies and best practices in data engineering and analytics.

Requirements

  • Technical Skills
    • 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.
  • Soft Skills
    • 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.