Senior Product Data Engineer

Role Overview:

• Senior data engineering role focused on building customer-facing data products.
• Join a specialized Data Insights team that turns raw signals into valuable intelligence.
• Work with complex, large-scale unstructured data and modern AI capabilities.

Key Responsibilities:

• Own projects end-to-end from discovery to production, balancing quality, cost, and customer value.
• Develop and operate ETL/ELT pipelines using Spark, PySpark, and orchestration tools like Airflow.
• Build and deploy LLM-powered and agentic features in a production environment.

Requirements:

• Strong expertise in Apache Spark (PySpark preferred) and large-scale data processing.
• Proven experience with ETL/ELT pipelines, workflow orchestration, and AWS ecosystem.
• Hands-on experience with LLMs and AI-assisted search, plus system design fundamentals.

Benefits:

• Fully remote position with flexibility to work from anywhere in Europe.
• Annual salary €90,000–€140,000 plus stock options and unlimited paid vacation.
• Exposure to cutting-edge technologies across AWS, GCP, Spark, Airflow, and LLMs.