Data Engineering Jobs in Italy
There are 1,048 open Data Engineering jobs in Italy on freehire right now. 370 of them were posted recently. The skills employers ask for most often are sql, python and cloud.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| EUR | year | €35,325 | €47,000 | €52,500 | 103 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- sql 53%
- python 50%
- cloud 48%
- analytics 38%
- ai 35%
- data-engineering 33%
- azure 32%
- etl 28%
How the work is done
- Hybrid 48 · 5%
- Remote 23 · 2%
- Onsite 3 · 0%
Visa sponsorship offered in 29% of the 17 postings that state a position on it.
Seniority
- Senior 156
- Junior 57
- Lead 38
- Intern 15
- Staff 8
- C-level 7
Who is hiring
- 1000+ employees 176
- 501-1000 employees 85
- 51-200 employees 31
- 201-500 employees 8
- 11-50 employees 7
Cloud Data Engineer a Torino
Builds cloud data pipelines and Power BI dashboards, working with Python, SQL, and Google Cloud services like BigQuery and Dataflow.
Cloud Data Engineer - BigQuery & Data Lake
Build and maintain cloud data infrastructure for a banking group, migrating to a Google BigQuery data lake and developing Python/SQL pipelines.
Mid-Senior Data Engineer - Cloud Data & Analytics
Designs, builds, and deploys cloud data pipelines and analytics solutions using Java/Scala/Python and SQL/NoSQL for a major Italian broadcaster.
Cloud Data Engineer – Snowflake & Databricks
Builds and optimizes scalable data pipelines using Python, Spark, SQL, AWS, Snowflake, and Databricks for analytics and AI projects.
Data Engineer I (On Site - Rome)
Build and maintain scalable data pipelines and distributed systems using Java, NoSQL, and RDBMS to support data-driven applications and architectures.
Big Data Engineer: Build Scalable Data Infrastructures
Designs and builds scalable big-data and cloud architectures for enterprise clients, integrating systems and optimizing distributed data pipelines.
Big Data Engineer: Build Data Intelligence Platforms
Builds and optimizes data pipelines using Java, Python, Spark, Kafka, and NoSQL to power analytics platforms in a cloud environment.
Data Engineer (GCP) – Full Remote
Build and maintain data pipelines on Google Cloud using BigQuery, Dataflow, Pub/Sub, and Airflow to process batch and streaming data for analytics and reporting.
Data Engineer - ETL, Data Warehouse, Hybrid Work
Designs and maintains ETL pipelines and data warehouses using Python and Qlik to process and store company data.
Senior Data Engineer (AWS – Python)
Senior Data Engineer builds cloud-native AWS data pipelines in Python, migrating legacy ETL to a modern Data Lake for an energy-sector client.
Hybrid Data Engineer - ETL, Data Warehouse & Modeling
Designs and maintains ETL pipelines, manages data warehouses, and optimizes system performance using Python, SQL, and NoSQL.
Aspiring Data Engineer: Big Data & Cloud Internship
Build and maintain big-data pipelines using Cloudera, Scala/Python/Java, and AWS/Azure; set up CI/CD for data workflows in an on-premise environment.
Data Engineer (Hybrid Rome) – Azure Data Lake
Designs and maintains Azure-based data platforms, integrating data management and ML pipelines for Dacomat’s product.
Azure Data Engineer: Big Data & Analytics Architect
Designs and builds Azure-based big-data pipelines and analytics platforms, focusing on data ingestion, transformation, and cloud-native architectures.
Data Engineer: Data Lakehouse, BI & GenAI (Smart Working)
Builds batch and streaming data pipelines, models data in Snowflake, and ensures data quality for BI and GenAI projects in a structured onboarding program.
Data Engineer - QuantumBlack, AI by McKinsey
Build scalable data pipelines and infrastructure for AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Hybrid Junior Data Engineer: ETL, Spark & AI Pipelines
Build and maintain ETL pipelines using Python, SQL, and Spark/Databricks, collaborating with Data Science and BI teams on AI/ML projects.
Junior Data Engineer: Cloud Data Platform & AI
Builds cloud-native data pipelines and transforms raw data into clean, governed datasets for AI products on AWS/GCP.
Data Engineer & Databricks Architect for Data & AI
Designs and builds Data & AI pipelines on Databricks, focusing on data ingestion, transformation, and integration for a Lakehouse architecture.