Top Data Engineer Jobs in Italy

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The role involves building and maintaining data infrastructure, ensuring efficient collection, processing, and storage of data while collaborating on projects and employing data quality measures.

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

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

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 will develop ETL processes, implement data protection methods, and optimize healthcare data landscapes in the cloud.

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

The Product Data Engineer will design and maintain ETL pipelines, ensure data quality, and collaborate with Backend and BI teams to enable analytics for product features in a healthcare CRM environment.

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

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

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.

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 Data Engineer, you will develop ETL processes, design data protection methods, and contribute to a growing global data landscape in the cloud.

Design, build, and maintain scalable data pipelines, warehouses and lakes; ensure data quality, security, and performance; enable analytics/ML deployment; collaborate across multi-site teams and support governance and delivery.

Responsible for designing and developing scalable data pipelines, ETL processes, and integrating solutions in cloud environments while collaborating with stakeholders.

Design, build and maintain scalable ETL/ELT data pipelines using Databricks and Apache Spark, optimize performance, and collaborate with stakeholders.

The Lead Engineer in AI will collaborate with teams to define AI workflows for engineering, lead R&D projects, and integrate software for AI applications in energy optimization.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Seeking a graduate to work in Data Cloud and AI solutions, assisting in data integration, analysis, AI prediction, Salesforce development, and collaborating with teams on CRM solutions.

The Senior Data Engineer will build and maintain scalable data pipelines, optimize costs, and redefine data architecture for growth, performance, and reliability, collaborating with various teams to ensure data quality and efficiency.

Build and maintain scalable data processing systems using Python and cloud platforms, collaborating with engineers and stakeholders to improve data solutions.

The Senior Data Engineer will lead the design and evolution of scalable data architectures, mentor team members, build data pipelines, and integrate Generative AI into workflows.

The role involves developing analytics solutions, managing data integration flows, creating KPIs, and collaborating with cross-functional teams in the Data and Analytics department.

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

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