Top Data Engineer Jobs in Italy

The Data Engineer develops ETL/ELT pipelines, integrates data from various sources, and collaborates with teams to enhance data solutions and infrastructure.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As an AI & Data Engineer, you will design and build AI-powered solutions, manage data platforms, and collaborate closely with cross-functional teams to drive data initiatives.

Develop data processing solutions using Google Dataproc, support data-related issues, and work with cross-functional teams to create data-driven solutions.

The role involves designing data engineering solutions, leading implementations including machine learning models, and supporting sales with technical proposals and client guidance.

Join a three-year graduate program to develop skills in data transformation, reporting, and business intelligence, utilizing various technologies.

The role involves developing data processing solutions with Google Dataproc, supporting data-related issues, and collaborating with teams to create data-driven solutions.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

Design Data Engineering solutions, lead development of machine learning models and applications, support presales activities by presenting and proposing solutions to clients.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

Develop data processing solutions using Google BigQuery, collaborate with teams, and support data-related issues while ensuring clear communication.

This role involves optimizing database performance, managing data integrity, and establishing ETL processes. Responsibilities include database architecture, troubleshooting, and mentoring teams.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

Develop data processing solutions using Google BigQuery, support data-related issues, and collaborate with teams to deliver data-driven solutions.

Develop data processing solutions using Google BigQuery, collaborate with teams, and support data-related issues while ensuring high-quality documentation.

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

Develop data processing solutions using Google Dataproc, support technical issues, and collaborate on data-driven solutions with teams.

Develop data processing solutions using Google Dataproc, collaborate with teams, and support for data-related issues while writing technical documents.

The Data Engineer will design and implement scalable data solutions on AWS, manage data pipelines, enforce data governance, and collaborate with teams to enhance processes while troubleshooting challenges.

As a Data Engineer at Camlin, you will design and implement data solutions, support data-related requirements, and enhance tools and applications by addressing issues. Collaboration with cross-functional teams and mentorship of peers is key.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.