Top Data Engineer Jobs in Milan

As an AI & Data Engineer, you will design and build AI-powered solutions, manage data platforms, and collaborate closely with cross-functional teams to drive data initiatives.

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.

The Junior Data Engineer will manage client SaaS technical onboarding, troubleshoot integration issues, and optimize data exchange using the DSCOVR platform and API.

TrueLayer seeks a mid-level Data Engineer to design, build, and operate data infrastructure on AWS, focusing on reliability and scalability while collaborating with analytics and DevOps teams.

As a Backend Engineer, you'll develop Python microservices, upgrade analytics platforms, optimize data systems, and suggest UX improvements.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

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

Lead ingestion and configuration of clinical trial data using tools like CDB/Illuminate. Manage data imports/exports, JSON manifests, and data mappings. Support data configuration workflows, work with SDTM structures, and collaborate with Data Engineering and stakeholders to deliver independent projects.

The Semantic Data Engineer maintains and evolves semantic data models, develops SPARQL queries, supports data workflows, and collaborates with backend engineers.

The Software Engineer will focus on data collection for model training, enhance ingestion pipelines, and collaborate with the AI team to improve data quality and cost-efficiency.

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

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

As a Staff Data Engineer at Qonto, you'll design scalable data architecture, ensure data quality, and bridge ML teams with platform engineering to support AI product development.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

The Senior Data Engineer will build and manage data pipelines, ensure data quality and compliance, and support cross-functional teams in leveraging data for decision-making.

Design and maintain data infrastructure, build analytical models, decommission legacy components, and collaborate to solve complex data problems.

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 Senior Data Analytics Engineer will partner with various teams to develop measurement strategies, create dashboards, and translate complex data into actionable insights while coaching junior analysts.

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

As a Founding Data and ML Engineer, you will design scalable data pipelines, develop AI/ML models, and enhance product performance through applied AI techniques.

Lead the development of scalable APIs for the Data Platform, involve in data modeling, guide architecture, and ensure quality in API design.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The Senior Data Engineer designs and optimizes data infrastructure using GCP tools, builds scalable ETL/ELT pipelines, and ensures data quality and governance while collaborating with teams for advanced analytics.