Top Data Engineer Jobs in Italy

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 a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

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

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

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

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

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

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

Lead data engineering projects, design and enhance data platforms, build real-time software for trading, and improve software development processes.

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

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

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

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.

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

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

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

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.

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 Backend Engineer, you'll develop Python microservices, upgrade analytics platforms, optimize data systems, and suggest UX improvements.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

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

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

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

Design and implement data-oriented processes for managing multi-modal data, build data infrastructure on AWS, and develop data pipelines using various tools.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.