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Senior AI Data Engineer

BillenniumPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano13 sierpnia 2026
Wykryte przez nas
Wykryte przez nas14 sierpnia 2026
Zarobki
ZarobkiDo uzgodnienia

Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. We are seeking a Senior AI Data Engineer to support the development of enterprise AI solutions, copilots, and RAG-based systems by transforming complex business data into high-quality, AI-ready knowledge assets.

Key responsibilities

  • Lead enterprise data discovery, cleanup, and standardization initiatives across various document repositories and databases.
  • Design and build robust ingestion pipelines for unstructured and semi-structured data, including metadata extraction and normalization.
  • Create and maintain AI-ready knowledge bases optimized for retrieval, embedding, and RAG use cases using Postgres and pgvector.
  • Define and implement data quality frameworks and feedback loops to continuously improve retrieval accuracy.
  • Ensure governance, traceability, and privacy compliance through data lineage, auditing, and PII detection practices.

Requirements

  • 5+ years of experience in Data Engineering, Applied Data Science, or Analytics Engineering with ownership of production-grade pipelines.
  • Strong Python skills and hands-on experience with data processing, parsing, cleaning, and ETL/ELT workflows.
  • Proven experience working with unstructured enterprise content such as PDFs, Office documents, and SharePoint repositories.
  • Practical experience building data pipelines for NLP, search, or RAG-related use cases.
  • Excellent stakeholder management skills with the ability to collaborate across business and engineering teams.

What we offer

  • Comprehensive benefits including private medical care, Multisport card, and language lessons.
  • Access to professional development opportunities through partnerships with global IT giants like Microsoft, AWS, and Snowflake.
  • A fully remote working environment with adaptable hours to suit your lifestyle.
  • Collaboration with a diverse, international team in an innovative and growth-oriented workplace.

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