Data Engineer

Atlante srl; Milano; On-site; EUR 70,000 - 90,000; Full time

Job summary

Atlante srl in Milano is seeking a Data Enginer to lead the Data Platform & AI team in redesigning Atlante’s data architecture and platform. You will act as the technical point of reference for data engineering and define standards the company follows when producing, modeling and consuming data.

You will design architectures that let AI systems work with our data, build a semantic layer used across BI, analytics and AI agents, and drive data product management with clear ownership and service

Qualifications

• Technical lead for data engineering within Data & AI team.
• Review and redesign Atlante’s data architecture end-to-end.
• Define architecture enabling AI agents to access, understand and act on Atlante’s data and knowledge.
• Establish data standards across data modeling, documentation and governance.

Responsibilities

• Review the current data architecture and data platform end to end, map weaknesses and technical debt, and define the target architecture and the roadmap to get there.

Job description

What if you could redesign how an entire company turns information into decisions, for people and AI agents alike?

We are looking for a Data Enginer to join our Data Platform & AI team!

Brief description of the role:

You are the technical point of reference for data engineering within the Data & AI team. You review Atlante’s data architecture and data platform end to end and lead their redesign, treating AI agents as first-class users and builders of the platform. You design the architecture that lets AI systems work on our data and knowledge, and you define the standards the whole company follows when it produces, models and consumes data.

Value creation:

You turn Atlante’s data platform into a foundation that people and AI agents can trust: governed, documented and semantically consistent. By making data discoverable and self-explanatory, you shorten the path from question to answer. You raise the engineering bar of the whole organization by setting how data is modeled, tested, shipped and owned.

Core Responsibilities:

• Review the current data architecture and data platform end to end, map weaknesses and technical debt, and define the target architecture and the roadmap to get there.
• Design and build the agentic harness architecture through which AI agents access, understand and act on Atlante’s data and knowledge, with clear permissions, evaluation and observability.
• Build and own the semantic layer, ensuring shared business definitions and metrics across BI, analytics and AI agents.
• Set up the knowledge management architecture that connects documentation, data catalog and business glossary to AI systems, including through MCP.
• Design, develop and operate reliable data pipelines on our lakehouse (Spark, SQL, Trino, Athena), with testing, data quality and monitoring built in from the start.
• Apply data product management, defining data products with clear owners, contracts, service levels and consumers.
• Promote agentic development as the team’s default way of building (coding agents, spec-driven development), with the review practices that keep the output production-grade.
• Define and spread data engineering standards across Atlante, including modeling conventions, CI/CD, documentation, access management and data governance.
• Stay abreast of the latest technologies in data and AI, testing them hands-on and bringing into the platform those that deliver real value.