Ai Data Engineer
Pubblicato il 21-10-2026 - Sofidel in Ari
Overview
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.
Retribuzione / Benefits
full-time employment
international Group environment
professional growth opportunities
team-based, dynamic setting
Sofidel Language Learning Programme
Responsabilità
Design, 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 solutions
Develop and maintain data models and structures supporting analytics and AI
Ensure data quality, consistency, reliability, and availability across the data ecosystem
Monitor data workflows and resolve performance issues, failures, and inconsistencies
Support the Data Platform and data services for the Agent Platform
Collaborate with stakeholders,
IT teams, vendors, and Data/AI specialists to deliver solutions
Implement data governance, security, and best practices
Prepare and maintain technical documentation and development standards
Contribute to the evolution and scalability of data architecture and platforms
Requisiti fondamentali
Master's degree in Computer Science, Computer Engineering, Data Science, or related STEM field
3–5 years of relevant experience
Excellent knowledge of relational and NoSQL databases
Proficiency in SQL and Python
Experience designing ETL/ELT pipelines and data integration
Knowledge of data modeling and modern data architectures (Data Warehouses, Data Lakes, Lakehouses)
Experience with data engineering tools/frameworks such as Spark, Databricks, Delta Lake, Parquet, Airflow
Familiarity with cloud environments (Azure, AWS, GCP) and related data services
Knowledge of Git and CI/CD practices
Experience in monitoring data processes, data quality, logging, and troubleshooting
Knowledge of data governance, data security, and access management
Very good written and spoken English; good Italian
Strong analytical thinking
Clear communicator to non-specialists
Collaborative and cross-functional in multidisciplinary environments
relational and NoSQL databases
SQL
Python