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
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines and cloud analytics platforms for a new Medical Analytics function, integrating healthcare data and supporting AI initiatives.
Senior Data Engineer
Senior Data Engineer builds and maintains cloud-based data pipelines and ETL processes for a banking client using Azure, Kafka, Databricks, and Python.
Senior Data Engineer
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.
Azure Cloud & Data Engineer
Designs and builds Azure cloud architectures, ETL pipelines, and web apps using FastAPI, React, and Databricks for a consulting client.
Junior Data Engineer - Milano
Build and optimize data pipelines for enterprise clients using tools like Informatica Power Center, Oracle, and SQL Server to support digital transformation projects across industries.
Google Cloud Data Engineer
Build and optimize Google Cloud data pipelines, including batch/real-time processing, ML model integration, and data quality KPIs for BI, APIs, and databases.
Data Engineer (Rif 7975)
Build and maintain a cloud-based data platform for a Milan-based ICT consultancy, ingesting new data sources and running tests using Python, Spark, and GCP tools like BigQuery and Dataflow.
Senior Databricks Data Engineer
Design and build scalable, high-performance data pipelines on Databricks (Delta Lake, Medallion architecture) using PySpark/Scala, optimizing batch and streaming workloads for large-scale data processing in Azure.
Data Engineer (GCP Landscape)
Design and optimize GCP-based ELT/ETL pipelines, build BigQuery data warehouses, and create semantic layers with LookML while containerizing data services on Cloud Run.
Junior Data Engineer - Milano
Build and optimize data platforms for clients in automotive, energy, and finance using tools like Informatica PowerCenter and Oracle SQL Server.
Data Engineer – Cloud & Analytics
Design and manage end-to-end data architecture on Google BigQuery, build scalable data lakes, and automate pipelines in Python and SQL for a fintech company.
Data Engineer Databricks & Lakehouse
Designs and builds data pipelines, ETL/ELT workflows, and scalable Lakehouse architectures on Databricks using Python, Spark, and Delta Lake.
Data Engineer / Databricks Developer
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to ingest, transform, and serve data for analytics and AI workloads.
Remote Data Engineer - GCP Data Platforms
Build and optimize GCP-based data pipelines and platforms, handling batch/streaming ingestion, transformation, and orchestration with BigQuery, Dataflow, Pub/Sub, Spark, and Airflow.
Customer Data Engineer - Milano
Designs and builds cloud-based ETL/ELT pipelines and data models to ingest, transform, and analyze customer data for marketing and CRM use cases using Python, SQL, Spark, and Databricks.
Customer Data Engineer - Milano
Designs and builds cloud-based data pipelines and ETL processes to ingest, transform, and model customer data for analytics and AI use cases in sectors like finance, media, and energy.
GCP Cloud Data Engineer
Designs and builds modern data platforms and big-data pipelines on Google Cloud Platform using Python, PySpark, and Terraform, following Medallion Architecture and data-governance best practices.
Databricks Expert - Data Engineer/Data Architect
Designs and implements cloud-native big data pipelines on Databricks and Azure, bridging data engineering and science to build scalable data lakes and ML-ready datasets.
Data Engineer (GCP Landscape)
Design and build scalable data pipelines and analytics solutions on Google Cloud Platform, focusing on BigQuery, Dataform, and LookML to enable data-driven decision-making for clients.