Ai Data Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8d896z

Join Sofidel’s Corporate Data Platform as a Data Platform Engineer to design and run data integration pipelines that power reporting, analytics, and AI. You’ll integrate data from ERP, factory systems, and more, ensuring quality, security, and availability for cross-functional stakeholders. You will collaborate with IT, business, and Data/AI teams to evolve scalable data architectures and governance. This role offers hands-on impact in a multinational, sustainability-driven group and opportunities to grow technically and professionally. You’ll help shape a robust data backbone that enables smarter decisions across the business.international Group environmentprofessional growth opportunitiesteam-based, dynamic settingDesign, develop, and maintain ETL/ELT data pipelines from multiple sources (ERP, databases, factory systems, files, APIs)Integrate data across sources to enable reporting, analytics, and AI solutionsDevelop and maintain data models and structures supporting analytics and AIEnsure data quality, consistency, reliability, and availability across the data ecosystemMonitor data workflows and resolve performance issues, failures, and inconsistenciesSupport the Data Platform and data services for the Agent PlatformCollaborate with stakeholders, IT teams, vendors,



and Data/AI specialists to deliver solutionsImplement data governance, security, and best practicesPrepare and maintain technical documentation and development standardsContribute to the evolution and scalability of data architecture and platformsMaster's degree in Computer Science, Computer Engineering, Data Science, or related STEM field3–5 years of relevant experienceExcellent knowledge of relational and NoSQL databasesProficiency in SQL and PythonExperience designing ETL/ELT pipelines and data integrationKnowledge of data modeling and modern data architectures (Data Warehouses, Data Lakes, Lakehouses)Experience with data xysqume engineering tools/frameworks such as Spark, Databricks, Delta Lake, Parquet, AirflowFamiliarity with cloud environments (Azure, AWS, GCP) and related data servicesKnowledge of Git and CI/CD practicesExperience in monitoring data processes, data quality, logging, and troubleshootingKnowledge of data governance, data security, and access managementVery good written and spoken English; good ItalianStrong analytical thinkingClear communicator to non-specialistsCollaborative and cross-functional in multidisciplinary environmentsrelational and NoSQL databasesSQLPython#J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8d896z