Top Data Engineer Jobs in Italy

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.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.

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.

Build and operate large-scale data pipelines and orchestration for generative AI research, focusing on video/audio datasets, feature extraction, labeling, and dataset quality to improve model performance.

Build and maintain high-performance, fault-tolerant distributed backend services and data pipelines for large genomic and health datasets. Design storage, indexing, and async event workflows; optimize latency, throughput, and reliability. Partner with bioinformatics and product teams to validate scientific accuracy and guard AI-driven responses.

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.

Lead analytics for engineering operations: drive demand vs capacity analysis, cost and outsourcing optimization, implement earned value management, apply statistical data analytics to identify process drivers, and communicate insights to stakeholders to enable data-driven decisions.

The Software Engineer will enhance data collection for AI model training, manage cloud infrastructure, and collaborate across teams to improve data quality and scale.

Lead the design, build, and scaling of cloud-native AI data platforms and pipelines. Act as Technical Product Owner and squad lead to deliver governed data assets, MLOps, feature stores, vector DBs, and CI/CD to operationalize Generative AI, LLMs, RAG, and analytics solutions while ensuring security, compliance, and platform adoption.

Lead design and evolution of a Lakehouse data platform integrating Redshift, serverless analytics, and streaming. Own dbt, CI/CD, Airflow orchestration, feature store and ML pipelines. Build ingestion (Fivetran/custom Python), streaming transformations, observability, security/compliance, and mentor junior engineers.

Design and specify data handling and command-and-control system architectures, perform integration, verification and validation (IVVQ), define test plans and procedures, carry out system-level testing, and demonstrate solutions to customers while ensuring technical coherence across interfaces.

Own and evolve a GCP-native data platform from ingestion to reporting. Lead architecture, reliability, observability, data quality, cost optimization, and AI-assisted engineering practices while mentoring engineers and collaborating with product and customer teams.

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

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.

Own and evolve Enode's data platform and pipelines to support the Flex product: build reliable datasets, ensure data quality and monitoring, enable self-serve analytics, and partner with data science on feature pipelines and model readiness. Drive pragmatic platform improvements, documentation, and tooling to scale data reliability and trust across delivery, billing, and reporting.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

As a Data Analytics Engineer, you'll design and maintain ETL pipelines, ensure data quality, and collaborate with various teams to meet data needs.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

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

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 Data Handling Subsystem Engineer, you will conduct hardware engineering activities, analyze specific needs, develop specifications, and solve critical development problems while ensuring timely reporting of technical findings.

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