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
Remote Data Engineer: Big Data & Spark Pipelines
Data Engineer building Big Data processing pipelines, ETL flows, and automated tests primarily using Apache Spark and Java.
GCP Data Engineer - Real-Time Data Pipelines
Designs and builds secure, scalable data processing systems on Google Cloud Platform to enable data-driven decision making.
Data Engineer — Build Scalable AI Data Pipelines
Designs scalable data pipelines and prepares data for AI-driven systems, collaborating with data scientists and ML engineers to build AI infrastructure in Milan.
Customer Data Engineer: Cloud Data Pipelines & Analytics
Lead Data Engineering, ETL/ELT, and Databricks-based cloud projects (GCP/Azure), building data pipelines with SQL, Python, and Spark for structured/unstructured data, integrating with CRM/marketing systems in Consumer Markets and Financial Services.
Hybrid Data Engineer: Spark, Python & Data Pipelines
Design and manage large-scale data pipelines in a hybrid role (Milan or Turin), collaborating with Data Analysts and Data Scientists using Python, Scala, Spark, and cloud.
Data Engineer: Pipelines & Analytics for Banking
Data Engineer designing and developing ETL/ELT data pipelines for the banking sector, collaborating with multidisciplinary teams to ensure data quality and reliability in a hybrid setup.
Azure Cloud & Data Engineer — Remote & Data Pipelines
An Azure Cloud & Data Engineer managing cloud architectures and building APIs for a tech consulting firm, using Microsoft Azure and Azure DevOps to develop data pipelines on modern platforms.
GCP Data Engineer: Build Scalable Data Pipelines
Designs and optimizes scalable data pipelines on Google Cloud Platform (GCP) to process and transform data efficiently.
Data Engineer, GCP | Fully Remote Data Pipelines
Builds and optimizes scalable data pipelines in Google Cloud, focusing on BigQuery and GCP services with Python for automation and efficiency.
Databricks Expert - Data Engineer/Data Architect
Databricks Expert bridging Data Science and Data Engineering, supporting customer Big Data projects with data acquisition, transformation, and loading into data lakes on cloud-native Azure/Databricks stacks.
Data Engineer - Flexible Hours | Cloud & Data Quality
Designs and develops data software and components for fintech, ensuring quality, performance, and compliance with cybersecurity, privacy, and governance in both on-premise and cloud environments.
AI-Driven Core Lending Data Engineer
Builds and maintains AI-driven systems for enterprise lending data processing, using AI tools to automate code generation, testing, and refactoring while ensuring output validation and edge-case handling.
Azure Data Engineer — Enterprise Analytics & Cloud
The Data Engineer will design and develop analytics solutions using Microsoft Azure and Databricks as part of cloud transformation projects.
Junior Data Engineer: Spark, Python & Cloud
Junior Data Engineer working on a financial project, using Python, Spark, SQL, and cloud platforms (GCP/AWS) in an on-site role in Milan.
Junior Data Engineer
Junior Data Engineer for an established financial project, primarily working with Python, Spark, SQL, and cloud platforms (GCP/AWS).
Remote Cloud Data Engineer: GCP & ML Pipelines
Design and build batch and real-time data pipelines on GCP for structured and unstructured data, collaborating with Data Scientists. Core tech includes GCP (DataFlow, Composer, BigQuery, Vertex), SQL, and Python/Java.