Top Data Engineer Jobs in Italy

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

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.

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

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.

TrueLayer seeks a mid-level Data Engineer to design, build, and operate data infrastructure on AWS, focusing on reliability and scalability while collaborating with analytics and DevOps 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.

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 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.

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.

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.

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

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

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.

The Semantic Data Engineer maintains and evolves semantic data models, develops SPARQL queries, supports data workflows, and collaborates with backend engineers.

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.

As a Staff Data Engineer at Qonto, you'll design scalable data architecture, ensure data quality, and bridge ML teams with platform engineering to support AI product development.

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.

The Senior Data Engineer designs data architectures, ensures compliance with data strategies, optimizes processes, and guides teams towards common goals in a collaborative environment while covering on-call shifts.

The Senior Data Engineer will build and manage data pipelines, ensure data quality and compliance, and support cross-functional teams in leveraging data for decision-making.

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

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.

The role involves working on Salesforce Data Science & AI projects, harmonizing data from various sources, analyzing data, and assisting in Salesforce development and customization.