Global Data Engineer: ETL, Data Platform & Analytics

Sofidel SpA; Porcari; Remote; EUR 33,000 - 40,000; Full time

Benefits offered by this job

International group

Team-based environment

Language learning program

Job summary

Sofidel SpA in Porcari (Lucca) seeks a Data Platform Engineer to design, develop and maintain data integration pipelines from ERP and factory systems, build data models, and assure data quality across the corporate data ecosystem.

The ideal candidate has a Master’s in CS/Engineering/Data Science and 3–5 years’ experience with SQL, Python, ETL/ELT, and cloud data services; Spark, Airflow, and CI/CD are a plus.

Qualifications

• Master’s degree in CS/Engineering/Data Science or related STEM fields.
• 3–5 years of relevant experience in data platforms or engineering roles.
• Strong SQL and Python skills with ETL/ELT experience.
• Experience with data modeling, warehousing, and cloud data services.

Responsibilities

• Design, develop, and maintain data integration pipelines from ERP and factory systems.
• Build data models and ensure data quality across the corporate data ecosystem.
• Monitor data workflows and resolve performance issues and data inconsistencies.
• Support data platform development and data services for analytics and AI solutions.
• Collaborate with stakeholders, IT, vendors, and Data/AI specialists on data solutions.

Skills

SQL

Python

ETL/ELT

Data modeling

Data warehousing

Data governance

Data quality monitoring

Cloud data services

Spark

Databricks

Airflow

CI/CD

Git

NoSQL databases

English

Italian

Education

Master's degree in Computer Science, Computer Engineering, Data Science, or related STEM disciplines

Tools

Spark

Databricks

Delta Lake

Parquet

Airflow

Git

CI/CD

Docker

Kubernetes

Job description

Sofidel SpA in Porcari (Lucca) seeks a Data Platform Engineer to design, develop and maintain data integration pipelines from ERP and factory systems, build data models, and assure data quality across the corporate data ecosystem.

The ideal candidate has a Master’s in CS/Engineering/Data Science and 3–5 years’ experience with SQL, Python, ETL/ELT, and cloud data services; Spark, Airflow, and CI/CD are a plus.