Data Engineer (Ecommerce)

TL;DR

Data Engineer (Ecommerce): Building and optimizing scalable and reliable ETL pipelines for a global luxury fashion marketplace with an accent on data reliability, quality, and warehouse architecture. Focus on evolving dimensional data models and creating high-volume data solutions to support self-service analytics.

Location: Hybrid in Porto, Portugal

Company

hirify.global is a leading global marketplace for the luxury fashion industry, connecting customers worldwide with the best brands and boutiques.

What you will do

• Design and build scalable and reliable ETL pipelines for the data platform.
• Evolve data models and schema designs of the Data Warehouse to support self-service needs.
• Collaborate cross-functionally to create solutions for handling large volumes of data.
• Set and maintain development standards and practices within the team.
• Advocate for quality and continuous improvement in data processes.

Requirements

• Professional experience building and maintaining data pipelines using ETL tools such as Airflow, Talend, SSIS, or Composer.
• Experience with Data Warehouse environments, including BigQuery, Hadoop, and relational databases.
• Expertise in SQL and dimensional data modeling.
• Proficiency in Python or Java.
• 2+ years of experience with BI reporting tools like Tableau, PowerBI, or Looker.
• English: Fluent proficiency (written and spoken) required.

Nice to have

• Experience with cloud environments such as GCP or Azure.

Culture & Benefits

• Health insurance for the whole family.
• Flexible working environment and well-being support.
• Sabbatical program and extra days off for community giving.
• Professional training opportunities.
• Flexible benefits program.