Data Engineer - 1P Area

In the 1P (First Party) area, the team designs, enhances, and maintains process data for core business operations including pricing, backmargin, planning, and warehouse costs. The team is responsible for designing mandatory new dataflows to support these core processes during significant transformations. This role directly impacts Allegro’s margin and P&L through data quality.

• At least 3 years of experience as a Data Engineer working with large datasets.
• Highly proficient in SQL with a strong understanding of data modeling and cloud DWH architecture.
• Experience with cloud providers, preferably GCP (BigQuery).
• Proficient in Python for working with large data sets, using tools like PySpark or Airflow.
• Uses good practices such as clean code, code review, and CI/CD.
• High degree of autonomy and passion for translating complex business requirements into impactful data solutions.
• English language proficiency at B2 level or higher.

• Design and develop high-quality data products and reliable, cost-effective processing pipelines on the Google Cloud Platform.
• Build, test, and maintain data systems to ensure accuracy for large-scale pipelines involving both streaming and batch data flows.
• Implement data schemas, models, message brokers, and SQL/No-SQL databases.
• Actively maintain the correctness of dataflows, ensuring high performance for critical processes like competitive pricing.
• Write high-quality code that follows agreed standards and suggest areas for automation or standardization.
• Manage and optimize costs related to data infrastructure and processing within the GCP environment.