AI Data Engineer (R-20104)
Dun & Bradstreet, Warsaw - Poland
What you will do
- Design, build and operate scalable data ingestion pipelines across a range of sources, including web data collection, API integrations and batch file deliveries, on our cloud data platform
- Build and productionise AI pipelines that use large language models (LLMs) and machine learning to extract, classify, enrich and standardise structured and unstructured data
- Develop agentic and retrieval-augmented generation (RAG) workflows, including prompt design, tool and Model Context Protocol (MCP) integrations and orchestration, where they deliver measurable gains in coverage, speed or quality
- Establish evaluation and monitoring for AI components, including accuracy benchmarks, human-in-the-loop review, drift detection, and cost and latency tracking
- Embed data quality, data governance and Responsible AI practices into every pipeline, in line with Dun & Bradstreet's AI Ethics and data management policies
- Research and apply modern data mastering and entity resolution techniques, including AI-assisted matching, to increase derived insight from disparate data sources