Data Analyst internship
Pubblicato il 20-08-2026 - Aretè & Cocchi Technology in Italia
Saipem is a global leader in the engineering and construction of major projects for the energy and infrastructure sectors, both offshore and onshore. Saipem is “One Company” organized into business lines: Asset Based Services , Drilling , Energy Carriers , Offshore Wind , Sustainable Infrastructures , Robotics & Industrialized Solutions . Always oriented towards technological innovation, the company’s purpose is “ Engineering for a sustainable future ”. As such Saipem is committed to supporting its clients on the energy transition pathway towards Net Zero, with increasingly digital means, technologies and processes geared for environmental sustainability. Listed on the Milan Stock Exchange, it is present in more than 50 countries around the world and employs about 30,000 people of over 130 nationalities .
As Data Analyst , you will join the Systems and Data Engineering Management (SYDEM) unit. In this role, you will be responsible for maintaining, enhancing, cleaning data across both operational and analytical environments. Working closely with the functional data integration team,
you will contribute to designing and developing data collection systems, ensuring the availability of high-quality datasets that enable efficient engineering workflows and support informed decision‑making across the organization.
You will play a key role in ensuring data reliability, consistency, and traceability throughout the full lifecycle of engineering processes, contributing to the advancement of digital capabilities within the business.
How can you support us?
- Design, develop, and maintain data pipelines to ingest, transform, structure, and deliver datasets from multiple internal and external sources.
- Enhance data quality, reliability, and governance , ensuring compliance with corporate standards, metadata requirements, and lifecycle management rules.
- Collaborate closely with data scientists, analysts, and engineering stakeholders to understand data needs, translate requireme