Ai Data Engineer
Pubblicato il 11-10-2026 - Sofidel in Ari
pJoin 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. /pulliinternational Group environment /liliprofessional growth opportunities /liliteam-based, dynamic setting /liliDesign, develop, and maintain ETL/ELT data pipelines from multiple sources (ERP, databases, factory systems, files, APIs) /liliIntegrate data across sources to enable reporting, analytics, and AI solutions /liliDevelop and maintain data models and structures supporting analytics and AI /liliEnsure data quality, consistency, reliability, and availability across the data ecosystem /liliMonitor data workflows and resolve performance issues, failures, and inconsistencies /liliSupport the Data Platform and data services for the Agent Platform /liliCollaborate with stakeholders, IT teams, vendors,
and Data/AI specialists to deliver solutions /liliImplement data governance, security, and best practices /liliPrepare and maintain technical documentation and development standards /liliContribute to the evolution and scalability of data architecture and platforms /liliMaster's degree in Computer Science, Computer Engineering, Data Science, or related STEM field /lili3–5 years of relevant experience /liliExcellent knowledge of relational and NoSQL databases /liliProficiency in SQL and Python /liliExperience designing ETL/ELT pipelines and data integration /liliKnowledge of data modeling and modern data architectures (Data Warehouses, Data Lakes, Lakehouses) /liliExperience with data engineering tools/frameworks such as Spark, Databricks, Delta Lake, Parquet, Airflow /liliFamiliarity with cloud environments (Azure, AWS, GCP) and related data services /liliKnowledge of Git and CI/CD practices /liliExperience in monitoring data processes, data quality, logging, and troubleshooting /liliKnowledge of data governance, data security, and access management /liliVery good written and spoken English; good Italian /liliStrong analytical thinking /liliClear communicator to non-specialists /liliCollaborative and cross-functional in multidisciplinary environments /lilirelational and NoSQL databases /liliSQL /liliPython /li /ul #J-18808-Ljbffr