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 | €35,650 | €47,250 | €52,500 | 102 |
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 Platform Engineer – Cloud & Analytics
Designs modern cloud-native data solutions for top banking/financial clients, focusing on data platforms and analytics in a hybrid Agile environment.
Senior Azure Data Platform Engineer - BI & Analytics
Designs and manages cloud-based data platforms and BI solutions on Microsoft Azure, coordinating projects in a hybrid work environment.
GCP Data Platform Engineer | Real-Time Analytics
Data Platform Engineer designing and building near real-time data pipelines and analytics platforms on Google Cloud Platform using SQL and Python.
Hadoop Data Platform Engineer | Flexible & Growth‑Oriented
Manage Cloudera/Hadoop enterprise infrastructure for banking and insurance clients, focusing on operations, system activities, automation, and process security.
AWS Data Architect — Cloud Data Platform & Pipelines
Designs AWS data pipeline and operations architecture for customer projects while mentoring other engineers, leveraging AWS, cloud-native, and big data technologies.
Senior Data Platform Engineer – GCP & BI
Lead Data Platform projects on GCP, designing scalable data architectures, Data Warehouses, and Data Lakes while managing teams and stakeholders.
Hybrid Data Platform Engineer – ETL/ELT & Spark
Data Engineer working on ETL/ELT pipelines, distributed data architectures and data stack modernization using SQL, Python, PySpark, Microsoft Fabric, Databricks and Azure Data Services.
Data Platform Engineer – Cloud & BI Specialist
Designs and manages data pipelines for an insurance company’s new cloud and on-prem data platform.
Cloud Data Platform Engineer (Azure, Power BI)
Data Engineer building a cloud data platform on MS Azure/Fabric, designing data models, implementing storage and integration, and delivering Power BI dashboards and reports in Brugherio, Italy.
Big Data Platform Engineer – Hadoop/Cloudera, Spark, Kafka
Manage and evolve enterprise Hadoop/Cloudera big data infrastructure and support application projects within a specialist technical team. Core technologies: Linux, Hadoop, Cloudera, HDFS, YARN, Spark, Kafka.
Data Engineer – ETL, SQL & Cloud Analytics (Firenze)
Data Engineer role focusing on ETL, SQL, and cloud analytics for innovation projects. Requires database modeling experience, advanced SQL skills, and teamwork.
Senior Data Engineer: BI & Analytics on Azure
Senior Data Engineer at a tech consultancy designing and building BI and Data Analytics solutions on Azure, using SQL Server and Power BI.
Data Engineer - ETL & SQL Performance (Hybrid Rome)
Data Engineer responsible for designing and optimizing data pipelines and transformation procedures using SQL, PL/SQL, and T-SQL in a hybrid setup in Rome.
Marketing Data Engineer - Hybrid (3 Days Remote)
Designs and builds data pipelines for marketing automation platforms, collaborating with cross-functional teams to deliver insights and optimize campaigns.
Data Engineer: Python/SQL, Spark - Hybrid Milan
A Milan-based IT consultant who designs, builds, and maintains data pipelines using Python, SQL, Spark, and cloud tools like Databricks/Airflow to support business projects.
Lead Data Engineer / International Project - Milan hybrid
Lead a data engineering team to build and scale AI-driven fintech infrastructure, designing pipelines for semantic search and LLM enrichment on GCP and PostgreSQL.