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.

Assist in data engineering tasks, including building data platforms, supporting trading software, and ensuring data quality for reporting and insights.

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.

Design and implement data-oriented processes for managing multi-modal data, build data infrastructure on AWS, and develop data pipelines using various tools.

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 Data Handling Subsystem Engineer will design and specify components for data handling systems, support integration and testing, and ensure compliance with requirements in space missions.

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

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

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

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

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

The role involves developing data ingestion pipelines, collecting audio data, operating cloud infrastructure, and collaborating with AI scientists to improve data quality and scale.

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

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

As an R&D Engineer, you will develop algorithms for assessing the health of power assets, translating domain knowledge into predictive maintenance models and conducting time-series analysis.

The Senior Data Engineer designs, maintains, and optimizes ML applications and data pipelines, ensuring compliance and quality while mentoring junior engineers.

The Staff Data Engineer will create a scalable data platform, implement data strategy, improve operational practices, and collaborate across teams.

Lead the design and implementation of strategic data architecture, develop and maintain data pipelines, ensure data governance and quality, and mentor team members.

The Senior Data Engineer will build and maintain ETL pipelines, work with cloud infrastructure, and create visualizations while ensuring data quality and collaborating with teams.

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

As a Senior Data Engineer, you will design and scale data systems, build ETL pipelines, ensure data quality, and collaborate with product, growth, and finance teams to support decision-making and analytics.