DATA ENGINEER

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.

ABOUT US
Namirial supports its customers in their digital transformation journey by providing trusted digital transaction management solutions. Namirial’s digital trust services include solutions for customer onboarding, agreement automation, signature workflow orchestration, identification, multi-factor authentication, electronic signatures, electronic registered delivery, long-term archiving, and electronic invoicing. Founded in 2000 in Italy, Namirial Group is now present in more than 85 countries and employs over 1400 people. With its international network of more than 170 strategic partners, Namirial serves over three million customers worldwide and processes several million transactions per day. Namirial is accredited as a Qualified Trust Service Provider under the European Regulation 910/2014 eIDAS. YOUR NEW KEY RESPONSIBILITY: Namirial is building a central data team and a Databricks lakehouse that brings together data from across the group. You will work side by side with our Data Architect, implementing a layered, contract-based architecture from ingestion to Power BI, and taking a growing part in architectural decisions.
• Implement the lakehouse architecture on Databricks: ingestion, cleaning, refinement and analytical layers that feed Power BI.
• Onboard new source systems following shared contracts and reusable modules.
• Build transformations in Python (PySpark) and SQL, using dbt where it fits, with reusable macros, modules and tests.
• Write efficient Spark and SQL jobs, and keep an eye on performance and cost.
• Work with our BI team to model data so that reports are fast and simple to build.
• Manage infrastructure as code with Terraform and deploy through Git-based CI/CD (Jenkins).
• Work with AI coding assistants as part of your everyday workflow.
• Bring your view to design discussions and help shape the platform as it grows. YOU MAY BE A FIT FOR THIS ROLE IF YOU HAVE: Hard Skills
• 3–5 years as a data engineer, with proven hands-on Databricks experience.
• Strong Python, PySpark, and SQL.
• Terraform and Git-based CI/CD; Jenkins is a plus.
• Understanding of layered data architecture, and of how data should be shaped for BI.
• Good written and spoken English. Soft Skills
• Precision in everything you deliver, from data definitions to code and documentation.
• Proactiveness in spotting problems, proposing fixes and acting on them before anyone asks.
• Critical thinking about every design, challenging what it assumes and where it breaks before you accept it.
• Clarity in documenting what you build.
• Curiosity about unfamiliar source systems and about architecture, with the wish to grow into it. Nice to Have
• Hands-on experience with dbt, including macros and testing.
• Experience building shared libraries, templates, or frameworks for reuse by other engineers.
• Familiarity with data contracts and data quality frameworks beyond basic testing.
• Experience integrating business systems such as CRMs or ERPs (e.g., Salesforce, Business Central, or similar).
• Experience building event-driven services on AWS, including webhooks, Lambda, Step Functions workflows, and APIs behind custom UI components.
• Experience handling personal or regulated data, including GDPR, PII masking, and audit requirements.
• Experience writing technical design documents or contributing to architecture decisions.
• Familiarity with Power BI semantic models or a Databricks certification. COMPENSATION PACKAGE:
• Employment Classification: Employee under B2 the CCNL Metalmeccanica Industria
• Fixed Salary (RAL): €50.000 – €55.000 gross per year, depending on the assessed level of autonomy and responsibility
• Meal vouchers: €7 for each day worked on-site
• Working Mode: Hybrid, based at one of the Group's offices. WHAT WE ARE OFFERING: ​
• Working in an exciting and innovative market environment ​
• Flexible

working hours
, uncomplicated holiday planning and home office ​
• Dynamic and open-minded working atmosphere with attractive benefits ​
• An international and motivated team that welcomes YOU​ RECRUITMENT PROCESS:
• HR Discovery Call (30 minutes – in English) Initial conversation with HR to explore your background, motivation, and overall fit.
• Interview with the Direct Leader In-depth discussion focused on your experience, key skills, and alignment with team and business goals.
• Technical Deep Dive / Business Case Offline assignment to assess role-relevant skills, problem-solving approach, and business acumen, followed by a discussion during the technical interview.
• Assessment+ Feedback Session (1 hour) Online assessment focused on personality traits and motivational drivers, followed by a dedicated feedback discussion.
• Reference Check At Namirial, we recognize the value of people as a fundamental element of our identity. We promote a workplace that is open, inclusive, and respectful—where everyone feels seen, heard, and appreciated. To support this commitment, we have adopted policies that promote diversity, equity, and inclusion, available at the following link: https://www.namirial.com/it/esg/impegno-sociale and obtained the UNI/PdR 125:2022 certification.