Senior AI Data Engineer - AI-Ready RAG Pipelines

Billennium; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Udemy for Business

Private medical care

Multisport card

Veterinary package

Language lessons

Shopping vouchers

Remote/hybrid work options

Career development

Global collaboration

Hackathons

CSR initiatives

Welcome pack

Job summary

Billennium, a global technology company, is seeking a Senior AI Data Engineer to support enterprise AI solutions and RAG-based systems. You will transform unstructured business data into AI-ready knowledge assets powering trustworthy and scalable AI applications.

Join a growth-focused, collaborative environment with flexible remote/hybrid options, opportunities to work with SharePoint, data lakes, Postgres, and pgvector, and to shape the future of data engineering across the organization.

Qualifications

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

Responsibilities

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

Skills

Python

Data processing

ETL/ELT

NLP

RAG

Data retrieval

Tools

Postgres

pgvector

SharePoint

Job description

Billennium, a global technology company, is seeking a Senior AI Data Engineer to support enterprise AI solutions and RAG-based systems. You will transform unstructured business data into AI-ready knowledge assets powering trustworthy and scalable AI applications.

Join a growth-focused, collaborative environment with flexible remote/hybrid options, opportunities to work with SharePoint, data lakes, Postgres, and pgvector, and to shape the future of data engineering across the organization.