TL;DR

Senior Data Engineer (Data): Building scalable data infrastructure to power search, browse, and recommendation systems by migrating existing data pipelines from GA4 to an internal Customer Behavior Source with an accent on data correctness, stability, and alignment with a new internal event model. Focus on ensuring data accuracy, consistency, and reliability during and after the migration, collaborating with analytics and product teams to validate migrated data and resolve discrepancies.

Location: Wroclaw, Poland

Company

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What you will do

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.

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.

Culture & Benefits

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