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 Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

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.

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

The role involves building and maintaining data infrastructure, ensuring efficient collection, processing, and storage of data while collaborating on projects and employing data quality measures.

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

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

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.

The Senior Data Engineer designs data architectures, ensures compliance with data strategies, optimizes processes, and guides teams towards common goals in a collaborative environment while covering on-call shifts.

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

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.

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.

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

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.

The Senior Data Engineer will build and maintain scalable data pipelines, optimize costs, and redefine data architecture for growth, performance, and reliability, collaborating with various teams to ensure data quality and efficiency.

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.

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.

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.

Design and build reliable, performant data pipelines for large payment datasets. Own end-to-end data flows, drive data quality, implement transformations (dbt), operate on StarRocks and Flink/Spark in cloud (AWS/GCP), collaborate cross-functionally, establish engineering standards, mentor engineers, and shape CI/CD and incident practices.

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.