Senior AI Data Engineer

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 is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together!

About the Role

We are looking for an experienced Senior AI Data Engineer who will be supporting the development of enterprise AI solutions, copilots, and RAG-based systems. In this role, you will transform complex and unstructured business data into high-quality, AI-ready knowledge assets that power trustworthy, scalable, and efficient AI applications.

What you will do

• 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.

What we are looking for

• 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

Perks and benefits (our offer)

• Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
• Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location.
• Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more.
• Global collaboration - work with a diverse, international team.
• Innovative environment - be part of a forward-thinking and growth-oriented workplace.
• Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
• Team-building events including our company tradition (annual company event in Mazury).
• A pleasant surprise to start your journey with us in the form of a welcome pack.

Recruitment process

• HR call
• Technical Interview
• Interview with the dedicated Client