Senior Data Engineer (Data)

TL;DR

Senior Data Engineer (Data): Building scalable data infrastructure for an online fashion & beauty retailer, focusing on migrating data pipelines from GA4 to an internal Customer Behavior Source. Focus on adapting Spark-based ETL pipelines, ensuring data accuracy, and collaborating with analytics teams for validation.

Location: Remote within Central Europe

Company

hirify.global is setting up a new Data Engineering team within a leading European Online Fashion & Beauty Retailer to take ownership of key pipelines that fuel the company's ML and data-driven services.

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.

Nice to have

• Familiarity with data modeling concepts.

Culture & Benefits

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