Data Engineer
Role details
Job location
Tech stack
Job description
️ 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
Requirements
️ 5+ years of hands-on experience as a Data Engineer, with proven expertise in building production data pipelines
️ Strong Python and SQL skills - you're 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
Ready to make an impact?
Ready to succeed and make an impact with us? Apply today - we can't wait to meet you!
Benefits & conditions
️ 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
