Autonomous Data & AI Engineer

Smarter data engineering. Faster business outcomes.

Move from manual, reactive data engineering to intelligent, autonomous execution. The Autonomous Data & AI Engineer uses specialized AI agents to reason, plan and execute work across the data lifecycle — from source analysis, modelling and ingestion to transformation, testing, governance and insight generation. It accelerates development and modernization across leading cloud, lakehouse and data platforms while keeping people in control through policy guardrails, validation, lineage and auditability.

The result: production-ready pipelines and reliable insights delivered faster, with less manual effort, lower migration risk and enterprise-grade scalability.

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Press release|October 2026

Atos launches Atos Genesis Intelligence suite featuring Atos Codex to address the full AI application spectrum

Our capabilities

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Autonomous Data & AI Engineer for Azure Databricks

Put your Databricks Lakehouse on autonomous mode. Atos AI agents independently ingest structured and unstructured data, enforce quality and transformation rules, and create refined data views ready for downstream analytics. By connecting Azure Data Factory, Azure AI Services, Databricks and Power BI in one secure, scalable environment, the solution helps reduce manual engineering effort by up to 30–60% and maintenance costs by up to 35%—freeing teams to move faster from new data sources to actionable insight.

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Autonomous Data & AI Engineer for Snowflake on Azure

Turn business intent into Snowflake-ready data products. Atos AI agents can analyze source tables, generate dimensional or Data Vault models, create implementation scripts, and automate dbt-based transformation, validation and quality controls. Integrated with Azure Data Factory, Azure AI Services and Power BI, the solution brings intelligent automation to Snowflake workflows while helping teams adapt faster to changing data, compliance requirements and business priorities.

Learn more (s'ouvre dans un nouvel onglet)

Autonomous Data & AI Engineer for Azure Databricks

Put your Databricks Lakehouse on autonomous mode. Atos AI agents independently ingest structured and unstructured data, enforce quality and transformation rules, and create refined data views ready for downstream analytics. By connecting Azure Data Factory, Azure AI Services, Databricks and Power BI in one secure, scalable environment, the solution helps reduce manual engineering effort by up to 30–60% and maintenance costs by up to 35%—freeing teams to move faster from new data sources to actionable insight.

Learn more (s'ouvre dans un nouvel onglet)

Autonomous Data & AI Engineer for Snowflake on Azure

Turn business intent into Snowflake-ready data products. Atos AI agents can analyze source tables, generate dimensional or Data Vault models, create implementation scripts, and automate dbt-based transformation, validation and quality controls. Integrated with Azure Data Factory, Azure AI Services and Power BI, the solution brings intelligent automation to Snowflake workflows while helping teams adapt faster to changing data, compliance requirements and business priorities.

Learn more (s'ouvre dans un nouvel onglet)

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