Data Engineering Jobs in Italy
There are 1,049 open Data Engineering jobs in Italy on freehire right now. 372 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 36%
- 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
Data Engineer
Designs and maintains scalable data pipelines and cloud infrastructure for clients in telecom, media, finance, automotive, and consumer sectors using Python, Spark, Kafka, and cloud platforms.
Data Engineer
Designs and builds data pipelines, architectures, and ML models using Python, SQL, and Oracle; partners with teams to translate data needs into solutions and reports with Power BI.
Azure Cloud & Data Engineer — Remote & Data Pipelines
Designs and maintains Azure cloud architectures and builds data pipelines using Azure services and DevOps practices.
Data Engineer
Design and build BI and data analytics solutions using SQL Server, PowerBI, Azure Databricks, and related Azure services for enterprise clients in Italy.
GCP Data Engineer: Build Scalable Data Pipelines
Build and optimize scalable data pipelines on Google Cloud Platform (GCP) using databases and programming languages, with a required Google Professional certification.
Senior Cloud & Data Engineer — Scale Big Data Pipelines
Build and optimize cloud-based data pipelines for clients using SQL, Python, and cloud architectures in a collaborative consultancy environment.
Data Engineer: Pipelines & Analytics for Banking
Designs and builds data pipelines for a banking-focused fintech, implementing ETL/ELT workflows and ensuring data quality and reliability.
Remote Data Engineer: Big Data & Spark Pipelines
Build and maintain large-scale data pipelines using Apache Spark and Java, designing ETL workflows and automated tests in a dynamic digital-transformation company.
Data Engineer - Hybrid/Remote Data Pipelines & Analytics
Design and build data pipelines and analytics products for a UK motor insurance provider using AWS, Python, and batch processing to support data science and business insights.
Big Data Engineer — Pipelines, Spark & DataOps
Designs, builds, and optimizes large-scale data pipelines using Hadoop, Spark, Java, and Python to process massive data volumes efficiently.
Senior Data Engineer
Build and maintain scalable data pipelines and analytical models for a digital wealth manager using Redshift, Airflow, DBT, and Python, while integrating AI capabilities.
Data Engineer / Data Scientist
Build and maintain scalable data pipelines, ML models, and analytics for an iGaming/Web3 company using Python, cloud platforms, and AI to drive player engagement and fraud detection.
Geospatial Data Platform Engineer
Build and optimize a global Earth-observation radar-data pipeline in Python/C, orchestrating distributed HPC/cloud jobs to process satellite imagery at scale.
Senior IOT Data Engineer
Design and industrialize IoT and embedded data platforms, building scalable batch/streaming pipelines and ensuring data quality for smart-factory and connected-product initiatives.
Data Engineer – Cloud & Analytics
Design and maintain a modern cloud data lake on Google BigQuery, build scalable ETL pipelines in Python/SQL, and ensure clean data flows to Salesforce and marketing systems.
INSAR Geospatial Data Platform Engineer
Builds and optimizes a large-scale Earth Observation data pipeline processing satellite radar data, focusing on scalability, performance, and integration with scientific algorithms.
Junior GCP Data Engineer
Build and maintain GCP-based data pipelines, clean and structure raw data, and integrate ML models into scalable workflows for analytics and visualization.
Google Cloud Data Engineer
Build and optimize Google Cloud data pipelines, including batch/real-time processing, data cleansing, and ML model integration, to support analytics, BI tools, and external APIs.
Junior Data Governance Consultant
Support clients in designing and implementing data governance frameworks, processes, and tools, including data quality, cataloging, and security, using SQL, ETL, and MDM platforms.