Data Engineer
Pubblicato il 17-10-2026 - Signaturit Group a Namirial in Bologna
About Signaturit Group, a Namirial Company
Signaturit Group, part of the Namirial group, is the European leader in secure digital transactions. Its cloud-native, unified and modular platform enables public and private organisations to manage the entire lifecycle of their digital operations: from identity verification and onboarding to electronic signatures, authentication, communications, fraud prevention, qualified archiving and electronic invoicing.
As a Qualified Trust Service Provider (QTSP) under the eIDAS Regulation, the group guarantees the highest level of legal certainty and regulatory compliance, anticipating initiatives such as eIDAS 2 and the European Digital Identity Framework (EUDI Wallet).
Following the integration of Signaturit into the Namirial Group in 2025, the company consolidates a multinational position with more than 250,000 customers, a presence in more than 90 countries, and a team of more than 1,400 employees. Headquartered in Italy and with a strong presence in Spain, France,
Germany and LATAM and South-East Asia —the group combines global reach with local proximity to offer direct service to businesses and public administrations.
Ready to grow your talent and make an impact? Join us and become part of a company that leads the digital transformation
We are looking for a Data Engineer to join our new IT Platform & AI Team, who is eager to contribute to the design, implementation, and evolution of a scalable and governed Lakehouse platform.
The role involves building and operating modern data architectures on Databricks running on AWS, managing data ingestion, transformation, orchestration, and serving layers end to end. This is a high-ownership position for an experienced engineer who enjoys building robust data solutions while contributing to engineering standards, team growth, and technical excellence.
YOUR NEW KEY RESPONSIBILITY:
Namirial is building a central data team and a Databricks lakehouse that brings together data from across