Senior Product Data Engineer

📋 Description

• Design, build, and operate data products that transform raw social and public data into consistent
• Develop large-scale ETL/ELT pipelines and data processing systems using Spark, with PySpark as a
• Work with unstructured and complex datasets to extract meaningful information and create reliable
• Own projects end-to-end, from discovery, planning, and scoping through architecture
• Build and improve systems that generate insights such as creator locations, demographics
• Contribute to the development of AI-assisted search, recommendations, and other intelligent product

🎯 Requirements

• Strong knowledge of Apache Spark, with PySpark preferred; Scala or Databricks experience valuable.
• Proven experience building ETL/ELT pipelines at significant scale.
• Experience with workflow orchestration tools such as Airflow or AWS Step Functions.
• Familiarity with AWS ecosystem (e.g., Glue, EMR).
• Hands-on experience building and deploying agentic or LLM-powered features in production.
• Practical understanding of LLM trade-offs involving cost, latency, performance, and capability.

🎁 Benefits

• Fully remote position with flexibility to work from anywhere in Europe.
• Annual salary range of €90,000–€140,000, depending on location, employment type, skills, and
• Stock options in addition to salary, with a significant equity component.
• Unlimited paid vacation.
• Flexible working hours and an async-friendly culture.
• High level of ownership with low bureaucracy and minimal unnecessary meetings.