Top Data Engineer Jobs in Italy

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

The Senior BI Data Engineer will design and enhance the BI platform, manage data processes, ensure quality, and lead technical initiatives while collaborating with stakeholders.

As a Data Engineer, you will build and maintain data pipelines, improve data warehousing, and enable data-driven decisions by collaborating with engineering, data science, and analyst teams.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, optimize database performance, and collaborate with data teams to enhance data accessibility and processing.

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

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

The role involves managing data transformation and reporting pipelines, automating data processes, and performing data analysis while collaborating with business owners. The candidate will use tools like Power BI and SQL in their tasks.

As a data engineer, you will organize and analyze structured and unstructured data, develop pipelines, and collaborate with a multi-disciplinary team to create solutions for data-driven insights.

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

The Data Engineer will develop and maintain data applications, create workflows for data processing, and collaborate with a team to build advanced technology solutions. Requires 2+ years of experience and TS/SCI clearance.

Design and maintain data pipelines while optimizing data warehouses, collaborating with analysts and scientists, and ensuring data integrity through quality measures.

The Data Engineer will implement engineering activities, develop data pipelines and workflows, and manage analytic solutions for clients while collaborating with a multi-disciplinary team.

As a Data Engineer, you will develop and maintain data pipelines and workflows, collaborate with teams, and create solutions for data processing and analytics.

As a Senior Data Engineer, manage and develop complex data applications, create ETL workflows, and ensure data platforms are scalable while collaborating with a multi-disciplinary team.

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

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

The Software Engineer will operate and enhance the cloud infrastructure, manage data ingestion, collaborate with scientists, and contribute to data processing and infrastructure for AI model training.

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 role involves designing AI solutions, developing machine learning models, collaborating with clients, and participating in presales activities.

Support the design and implementation of AI solutions, collaborating with teams, and gaining hands-on experience in machine learning and NLP.

Design and implement AI solutions using ML models and NLP, collaborate with teams, and support business process improvement through AI.

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.

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

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.