Ai Data Engineer

Sofidel; Ari; On-site; EUR 70,000 - 95,000; Full time

Job summary

Sofidel is seeking a Data Platform Engineer to design and run ETL/ELT pipelines powering reporting, analytics, and AI. You will integrate data from ERP, factory systems, and more, ensuring quality and availability for cross-functional stakeholders.

In a multinational, sustainability-driven group, you will collaborate with IT, business, and Data/AI teams to evolve scalable data architectures and governance, enabling smarter decisions across the business.

Qualifications

• 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.

Responsibilities

• 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

Skills

Analytical thinking

Clear communicator

English proficiency

Italian proficiency

Education

Master's degree in Computer Science/Engineering/Data Science

Tools

SQL

Python

Spark

Databricks

Delta Lake

Airflow

Parquet

Azure

AWS

GCP

Job description

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 environment
• professional growth opportunities
• team-based, dynamic setting
• 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
• 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