Senior AI Data Engineer

About the Role

Support the development of enterprise AI solutions, copilots, and RAG-based systems by transforming 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

• Comprehensive benefits: Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
• Adaptable working hours and remote/hybrid work options.
• Professional development and learning opportunities, including partnerships with Microsoft, AWS, Snowflake, Salesforce, and more.
• Collaboration with a diverse, international team.
• Forward-thinking, growth-oriented workplace.
• Team-building events, hackathons, and CSR initiatives.
• Annual company event in Mazury.
• Welcome pack.

Recruitment process

• HR call
• Technical interview
• Interview with the dedicated client
• Final decision / feedback