Data Engineer (maternity cover)

Delivery Experience is one of the fastest-growing areas of Allegro where complex projects enhance logistics and warehousing processes. The team builds technology to make Allegro's deliveries easy, cost-effective, fast, and predictable, handling critical services such as delivery time prediction, delivery method selection, and carrier integration.

• At least 3 years of experience as a Data Engineer working with large datasets.
• Expert proficiency in SQL.
• Strong understanding of data modeling and cloud Data Warehouses (DWH).
• Hands-on experience with cloud warehouses like BigQuery or Snowflake (BigQuery preferred).
• Experience in designing and maintaining ETL/ELT processes.
• Experience working with large datasets in Python, utilizing data processing tools like PySpark.
• Familiarity with data orchestration tools like Airflow.
• High degree of autonomy and passion for translating complex business requirements into impactful data solutions.
• Familiarity with and adherence to good software engineering practices (clean code, code review, CI/CD).
• Proven capability to optimize cost and efficiency of data processing.
• Demonstrated ability to leverage AI/ML tooling to enhance data pipelines and analytical products.
• English proficiency at least B2 level.

• Develop and maintain data ingestion and processing pipelines for large volumes of data using BigQuery, Airflow, and dbt.
• Design and streamline data architecture that powers analytical products.
• Help drive the adoption of AI in analytics and unlock new possibilities on top of the data mesh.
• Develop tooling for monitoring and enhancing data quality and integrity.
• Manage and optimize costs related to data processing and infrastructure.