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The developer will design, evolve, and maintain healthcare software applications using Java 17+, Oracle/PostgreSQL, and frontend technologies like Angular.
The Backend Developer will design, evolve, and maintain software applications, contributing to new features, maintenance, testing, and releases within a structured team. The role focuses on backend development using Java, PL/SQL, Oracle, and PostgreSQL.
Gruppo Gpi is seeking a backend developer in Naples to design, evolve, and maintain software applications. The role involves working with a technical team on new features, maintenance, testing, and releases using Java 17, Oracle/PostgreSQL, and frontend technologies like Angular.
Zetaconsulting is seeking a software developer in Frosinone to work on the development and maintenance of industrial software projects and system integrations. The role involves working with front-end technologies including XML, HTML5, CSS, and the Atlassian suite.
At SDG Group we are a global consultancy 100% specialized in Data and Artificial Intelligence, and we know that quality software is the foundation of any solution that truly makes an impact. Our teams ares the key to…
Build and deploy full-stack Python/Django applications with Vue.js, manage cloud-native AWS/Azure infrastructure, and automate CI/CD pipelines.
Full Stack Developer for a fast-growing IoT industrial solutions company, building web and cloud services using PHP, JavaScript (Angular/Cordova/Ionic), and SQL databases from their Bologna office.
6-month in-person PHP full-stack internship (Laravel, WordPress/WooCommerce) developing B2C sites, e-commerce solutions, cloud apps, and API integrations within an Agile team.
Software Engineer developing deterministic frameworks for dynamic allocation of safety-critical embedded applications in Aerospace & Defence, using C/C++, Python, JavaScript, React, MATLAB/Simulink, Linux, and RTOS.
Designs and builds secure, scalable cloud-native data pipelines and lakes on Azure to power analytics and ML, bridging engineering and data science in a global team.
The Azure Data Architect will design, build, and maintain secure, scalable data processing systems using Azure, Databricks, and Spark. The role involves collaborating with data scientists to transform raw data into actionable business insights.
Design and implement secure, scalable cloud-native data processing systems on Azure, collaborating with Data Science and Engineering teams to enable advanced analytics and AI models.
Design, build, and operationalize data processing systems across cloud-native and on-prem environments, building scalable data pipelines with Azure to enable analytics and AI initiatives.
Data Architect based in Italy designing, building, and operating cloud-native data processing systems—including data lakes for analytics and ML—with a focus on security, scalability, reliability, and governance.
The Azure Data Architect will design and manage secure, scalable data processing systems using Azure tools like Data Factory and Synapse. The role focuses on building end-to-end pipelines to support analytics and machine learning initiatives.
The Senior Big Data Architect & Analytics Engineer will design and implement complex big data solutions while collaborating with stakeholders. The role requires expertise in Spark, Kafka, SQL, cloud platforms, HDFS, and the Elastic Stack.
Design and build scalable AWS-based data lakes and ingestion pipelines, bridging data engineering and science to enable analytics and insights.
The Data Analytics & AI Insights Engineer will transform complex data into business insights by managing end-to-end analysis, creating advanced dashboards, and applying data science and machine learning techniques.
The AWS Data Architect will design and implement data ingestion solutions and scalable pipelines on AWS. This role bridges data science and data engineering teams to enhance cloud-native data platforms.
The AWS Data Architect designs and optimizes scalable data ingestion pipelines and data models using AWS services like Redshift, RDS, and DynamoDB. The role involves bridging data science and engineering teams while mentoring junior staff and participating in client workshops.
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