Top Data Engineer Jobs in Milan

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.

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

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

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

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.

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

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.

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.

The Junior Research & Data/AI Engineer will support applied research, develop models, maintain data pipelines, and collaborate with teams on financial products.

Design and maintain scalable data pipelines using Snowflake and Apache Iceberg. Mentor engineers, implement ETL processes, and ensure data accuracy. Collaborate with cross-functional teams to create high-impact data solutions.

Lead the development of scalable APIs for the Data Platform, involve in data modeling, guide architecture, and ensure quality in API design.

Lead validation and automation of data pipelines and ETL workflows, ensuring data integrity and performance across cloud-native platforms. Collaborate with teams to design, build, and maintain test frameworks, while mentoring peers and enhancing best practices in data testing and automation.

The Senior Software Engineer in Test will validate and automate the quality of data pipelines and ETL workflows, ensuring data integrity and performance in a cloud-native SaaS platform.

Lead validation and automation of data pipelines and ETL workflows, ensuring quality and reliability of data across cloud-native platforms. Collaborate with teams to implement automated testing and integrate quality checks into CI/CD pipelines.

Lead validation and automation of data pipelines, ensure data quality, and collaborate on building robust testing frameworks for cloud-native applications.

Lead validation and automation of data pipelines and ETL workflows, ensuring data quality and performance across cloud-native platforms. Collaborate with teams to maintain automated test frameworks and quality gates.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

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.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.