Senior Data Engineer at Zoolatech

ABOUT THE PROJECT

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.

REQUIREMENTS

– 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)

RESPONSIBILITIES

– 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

WHAT WE OFFER

– Paid Vacation
– Sick Days
– Sport/Insurance Compensation
– English Classes
– Charity Training Compensation

COMPENSATION & BENEFITS

– Competitive Salary
– Health Insurance
– Work-Life Balance