• Progetterà e svilupperà pipeline e sistemi di data processing scalabili e affidabili • Collaborerà con team tecnici e stakeholder di business per tradurre requisiti in soluzioni dati concrete • Garantirà il rispetto delle best practice di sviluppo (SDLC), testing e documentazione • Monitorerà le performance delle piattaforme dati e proporrà ottimizzazioni • Lavorerà in contesti cloud e distribuiti, integrando strumenti moderni di data engineering • Per profili Data Engineer III, sono previste oltre a queste: • Responsabilità di design tecnico di soluzioni complesse • Capacità di guidare iniziative progettuali e contribuire alle scelte architetturali • Attività di mentoring verso colleghi più junior

• Act as Chapter Lead for Data Engineering, providing technical leadership, mentoring, and guidance across the data engineering community. • Set and uphold engineering standards, best practices, and ways of working. • Take ownership and accountability for the quality, maintainability, and scalability of data engineering solutions. • Design, develop, modernise, and test data engineering pipelines, including ETL/ELT processes, reports, and data visualisations. • Build and maintain robust real-time and batch data pipelines to meet evolving client and business needs. • Load and transform customer data into target platforms using scalable and reusable patterns. • Implement data management and integration solutions using APIs. • Write complex, performant T-SQL queries and high-quality Python code. • Ensure solutions are well-documented, reusable, maintainable, and production-ready. • Apply source control best practices using Git and contribute to CI/CD pipelines. • Elicit, analyse, and refine multi-stakeholder requirements, translating business needs into technical solutions. • Act as a client-facing consultant, confidently engaging with technical and non-technical stakeholders. • Collaborate closely with internal teams and client stakeholders to provide technical leadership and delivery assurance. • Support pre-sales and sales activities where required, including solution shaping and technical input.

• Help build AI on a solid, reliable Data Platform • Collaborate with clients and team members to deliver projects • Lead projects while balancing technical and pragmatic needs • Engage in requirements gathering and client consulting

• You will be involved in designing and implementing ETL/ELT pipelines for data integration, transformation, and management. • You will work primarily on Google Cloud Platform and its data processing and orchestration services. • Tasks include data modeling on relational databases, • Development of stored procedures and managing solutions focused on data quality and governance.