Senior Data Engineer

Are you excited by the challenge of building scalable data infrastructure that powers search, browse, and recommendation systems used by millions of users? We are setting up a brand-new Data Engineering team within leading European Online Fashion & Beauty Retailer to take ownership of key pipelines that fuel the company's ML and data-driven services.

The project focuses on migrating existing data pipelines from GA4 (Google Analytics 4) to an internal Customer Behavior Source - a company-specific representation of behavioral event data used across multiple downstream systems.

The current scope is centered on this migration, with an emphasis on data correctness, stability, and alignment with a new internal event model. The role involves working with existing pipelines, adapting transformations to the new data source, and ensuring a smooth transition without disrupting data consumers.

This is a hands-on data engineering role with a strong focus on pipeline migration, data quality, and collaboration with stakeholders validating behavioral data.

• Migrate existing data pipelines from GA4 (Google Analytics 4) to an internal Customer Behavior Source

• Refactor and adapt Spark-based ETL pipelines to match a new behavioral event schema

• Ensure data accuracy, consistency, and reliability during and after the migration

• Work with large-scale datasets using PySpark and SQL

• Collaborate with analytics and product teams to validate migrated data and resolve discrepancies

• Document pipeline logic, data models, and migration decisions

• Troubleshoot and resolve issues related to data quality or pipeline stability

• Strong hands-on experience with PySpark and Apache Spark

• Proficiency with Airflow for orchestrating data pipelines

• Solid SQL skills for data transformation and validation

• Experience working with Databricks in a production environment

• Familiarity with data modeling concepts (desired, but not required)

Benefits:

• Paid Vacation
• Hybrid Work (home/office)
• Sick Days
• Sport/Insurance Compensation
• Holidays Day Off
• English Classes
• Training Compensation
• Transportation compensation