Data Engineering Jobs in Italy
There are 1,045 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 49%
- 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
Data Engineer — Build Scalable AI Data Pipelines
Build and maintain scalable data pipelines that feed AI models, ensuring data quality and security while collaborating with data scientists and ML engineers.
Customer Data Engineer - Cloud Data Pipelines & AI
Designs cloud data pipelines and ETL/ELT workflows to process customer data for analytics in financial services and energy sectors using SQL, Python, and Spark.
Customer Data Engineer: Cloud Data Pipelines & Analytics
Builds cloud data pipelines and ETL/ELT workflows on GCP/Azure using SQL, Python, and Spark to feed CRM and marketing analytics for Consumer Markets and Financial Services clients.
Senior Data Engineer - Remote Europe, Cloud Data Pipelines
Senior Data Engineer builds and maintains cloud-native data pipelines on AWS to feed analytics and product systems, collaborating with a distributed team.
Data Engineer Big Data — Pipelines & Lakehouse
Builds and maintains big-data pipelines using Spark/PySpark, NiFi, Iceberg, and Kafka to move data from Bronze to Silver to Gold layers with strong data quality and governance.
Hybrid Data Engineer: Spark, Python & Data Pipelines
Designs and maintains large-scale data pipelines using Python/Scala, Spark, and cloud tools in a hybrid role.
Senior Data Engineer — Remote AWS Data Pipelines
Design, build, and optimize AWS-based data pipelines and warehouse architectures for scalable, high-performance ETL workflows in a fully remote role.
Data Engineer
Design and build data pipelines on Azure/AWS/Google Cloud using Python and SQL to process client data into actionable insights for management systems and external platforms.
Data Engineer
Build and maintain scalable ETL/ELT pipelines and data models in AWS using PySpark, Glue, and Delta Lake to power analytics and reporting for an Italian online grocery platform.
Data Engineer
Designs and builds cloud-based data pipelines, Datalake/Lakehouse systems, and ETL/ELT workflows for clients in finance, insurance, and energy.
Data Engineer
Designs and maintains data pipelines for marketing automation, integrating internal systems with ad platforms like Google Ads using Python, SQL, and cloud data warehouses.
Data Engineer
Design, build, and maintain data pipelines and models to support analytics and business decisions using Java/Scala/Python and cloud platforms.
Data Engineer
Designs and builds scalable data pipelines and cloud-native architectures using Python, Spark, SQL, AWS, and Snowflake to deliver enterprise-grade analytics and AI solutions for clients.
Data Engineer
Designs and manages end-to-end data pipelines in on-prem and cloud environments, builds a new Data Platform, and creates data marts and dashboards for business analytics.
Data Engineer
Designs and builds ETL pipelines, models databases, and creates dashboards using SQL and cloud platforms for a consulting firm’s data projects.
Data Engineer
Designs, builds, and maintains data pipelines and ETL/ELT workflows for a banking-focused ICT consultancy, ensuring reliable analytics and reporting.
Data Engineer
Build and optimize distributed Big Data pipelines and ETL workflows using Java, Apache Spark, Kafka, and Cloudera for financial-sector clients.
Data Engineer
Design and build modern data platforms and scalable AI ecosystems for global clients using Spark, Hadoop, Kafka, and cloud/on-prem environments.