Data Engineer

• Refactor and standardize Bronze and Silver layers - cleaning up technical debt, establishing consistent patterns organized by source systems, implementing data quality frameworks with automated validation and monitoring
• Design and build domain-oriented Gold layer datasets - creating business-aligned data products organized by domain that serve as source for analytics, self-service BI and AI consumption
• Build and optimize data pipelines using Databricks and/or Glue, working with PySpark move data through Bronze → Silver → domain-specific Gold
• Develop AI-ready data infrastructure from Gold layer - implementing vectorization pipelines, building knowledge bases for LLMs, and preparing domain-specific structured data for AI agents
• Collaborate with domain data owners to translate business requirements into scalable, domain-aligned data products

• 5+ years of hands-on experience as a Data Engineer, with proven expertise in building production data pipelines
• Strong Python and SQL skills - comfortable writing complex transformations, optimizing queries, and working across different layers of data processing
• Understanding of data governance and data quality frameworks
• Practical experience or strong interest in AI/ML data preparation - vectorization, embeddings, and LLM data pipelines is a plus
• Strong analytical mindset with attention to detail and a pragmatic approach to balancing technical processing needs with business consumption patterns
• Fluent in English

Practical experience or strong interest in AI/ML data preparation - vectorization, embeddings, and LLM data pipelines

• Career growth opportunities and internal mobility
• Modern offices in 11 European locations
• Fun team events & continuous learning
• Competitive salary with bonus system
• Hybrid working policy