Qlik has announced the general availability of Agentic Data Engineering features in Qlik Talend Cloud.
Matt Hayes, general manager, Data Business Unit, Qlik said that the release targets a massive shift in engineering workloads. Citing Gartner’s February 2026 Top Trends in Data & Analytics report, Hayes noted that context-aware AI agents are projected to automate 75% of data engineering workflows by 2029.
Agentic Data Engineering
The release features autonomous agents built specifically for data engineering workflows, including:
- The Data Product Agent handles the specification, creation, governance, and surfacing of high-quality curated data products.
- The Data Quality Agent keeps data accurate, complete, and reliable, actively assisting data stewards in profiling, monitoring, and remediating errors within datasets.
- The Catalogue and Business Glossary Agent automates the discovery, classification, and documentation of data assets.
- The Pipeline Agent, which automates the building and deployment of intelligent data pipelines across diverse environments, will be previewed later in the quarter, with GA targeted for later this year.
It also enables building and updating Qlik data pipelines in natural language within various IDEs.
Hayes adds: “This release also adds a significantly larger context and memory window for enterprise agentic scenarios, responding directly to the most common request from teams building complex multi-step workflows. Data classification, semantic enrichment, RAG pipelines, and dynamic routing are now available within event-driven integration flows at the scale enterprise deployments require.”
