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 179
- 501-1000 employees 85
- 51-200 employees 31
- 201-500 employees 8
- 11-50 employees 7
Senior Azure Data Engineer
Designs and builds cloud-native data pipelines on Azure, integrating Big Data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Data Engineer - Python, SQL
Build and maintain AWS-based data pipelines and infrastructure, migrating on-prem workloads to cloud, using Python, SQL, Docker, and Kubernetes.
Data Engineer
Builds and maintains ETL pipelines and data warehouses using Python and SQL, and deploys with CI/CD tools like GitLab/GitHub.
Experienced - Azure Data Engineer Synapse
Designs and builds end-to-end data pipelines on Azure Synapse and Data Factory, modeling relational/ dimensional data and ensuring quality, governance, and CI/CD for enterprise clients.
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 using Python, HPC, and cloud tools.
Data Engineer: Microsoft Fabric & Azure Lakehouse
Experteer Italy cerca un/una professionista per disegnare e realizzare soluzioni dati moderne nell’ecosistema Microsoft Fabric e Azure. Lavorerai con referenti tecnici e di business per tradurre requisiti in soluzioni…
Data Engineer | Microsoft Fabric | Roma
In questa posizione, ti occuperai di disegnare e realizzare soluzioni dati moderne nell’ecosistema Microsoft Fabric e Azure. Lavorerai a stretto contatto con referenti tecnici e di business per tradurre requisiti in…
Data Engineer Google
Build and maintain scalable data pipelines on Google Cloud, model BigQuery warehouses, and collaborate with ML teams to deploy models via Vertex AI.
Head of Data Engineering, Integration & Governance (Hybrid)
Lead a team to build and govern data pipelines that ingest, clean, and transform enterprise data (PLM, ERP, MES) for Digital Twins and knowledge graphs using Databricks or Azure Data Factory.
Databricks Expert & Data Architect — Cloud Data Engineer
Design and build cloud-native data pipelines on Databricks and Azure, transforming raw data into clean datasets for analytics and ML while collaborating with data scientists and engineers.
Databricks Cloud Data Engineer — Remote & Flexible
Designs and optimizes modern cloud data architectures (Azure/AWS/GCP) using Databricks, Spark, Kafka, and SQL/NoSQL to build scalable data pipelines with strong governance.
Experienced - Data Engineer Fabric - Nexthub Bari
Data Engineer building modern data pipelines and warehouses using Microsoft Fabric and Azure for enterprise clients, with a focus on cloud-based AI/ML solutions and ETL/ELT workflows.
Experienced – Azure Data Engineer Synapse
Designs and builds end-to-end data pipelines on Azure Synapse and Data Factory, modeling relational/ dimensional data in T-SQL and PySpark to deliver governed analytics platforms for clients in industrial, energy, consumer and public sectors.
Expert Data Engineer E-Mobility
Build and maintain scalable data pipelines for Plenitude’s EV-charging network, using Python, PySpark, AWS, and Databricks to feed analytics and operational tools.
Senior Data Engineer - Python | Sql
Design and build scalable, cloud-based data pipelines and architectures in Python/SQL to support analytics and AI use cases for enterprise clients.