Top Data Engineer Jobs in Italy

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 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 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.

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.

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 Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Design, build and maintain scalable ETL/ELT data pipelines using Databricks and Apache Spark, optimize performance, and collaborate 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 Software Engineer will manage data collection, build ingestion pipelines, and ensure high-quality datasets for model training, collaborating with AI scientists.

This role focuses on data collection for model training, managing the ingestion pipeline on GCP, and collaborating with the AI team to enhance data quality and efficiency.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

The Data Engineer will design and maintain data pipelines, optimize ETL processes, ensure data quality, and collaborate in an agile environment.

The role involves designing, developing, and validating software applications for satellite test systems, managing virtual environments, and building data pipelines for satellite data processing.