For a prestigious customer - we are looking for dedicated Data / AI Engineers (Lead Engineer and seniors to leverage their extensive experience in Data engineering, AI and public cloud areas, to interpret our customers’ business and technical requirements in order to extract the value from their data, using Dataiku and GCP products and services as well as other industry-known technologies.
work as part of the Data & AI Factory team, working with the customer to support their data-ops and AI projects
be involved in designing, building, maintaining and troubleshooting data pipelines, models and transformations
help to build, maintain and troubleshoot data observability solutions to improve data quality
help turn data into valuable business insights, preparing custom solutions optimised for each client
act as a trusted advisor for junior team members
Note: this position may require on-call work, including overnight and weekend availability.
You're a mid-level engineer who enjoys breadth, you're comfortable writing Python backends, curious about AI, and not afraid of data pipelines.



You like picking up new tools quickly, you communicate well, and you get things done.
You'll be working on our Managed Cloud Compliance product, a platform that collects, transforms and reports security and compliance data from Azure, AWS, and GCP environments. Python backend development, building and maintaining the services and APIs that power the platform;
Agentic AI & AI-assisted development, working with modern AI tooling (including Claude Code, MCP, OpenAI SDK, and similar technologies) to build intelligent, automated workflows and solutions;
Data engineering, designing and maintaining data pipelines that turn raw cloud data into actionable compliance insights.
We're a team that actively explores and adopts new technologies, so if you like staying on the edge, you'll fit right in.
Develop and maintain Python backend services and data pipelines;
Collect, transform, and model data from c

📌 Senior Cloud Cybersecurity Architect (Italia)
🏢 Informatica / Software
📍 Italia