Senior Data Engineer, Ring Data Platform

Amazon; Milano; In loco; EUR 40.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading technology company based in Milan is seeking an experienced Data Engineer to develop and maintain robust data pipelines. The role focuses on building AI and data capabilities for innovative applications. Ideal candidates have 5+ years of experience in data engineering, proficiency in SQL and at least one programming language, and a collaborative mindset. This position offers the opportunity to drive key projects in a fast-evolving tech environment.

Competenze

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience in at least one modern programming language.

Mansioni

• Design, build, and maintain robust data pipelines.
• Collaborate with data scientists and software engineers.
• Conduct code reviews and enforce best practices.

Conoscenze

Data pipeline design

ETL processes

Data modeling

SQL

Python

Collaboration

Strumenti

AWS

Hadoop

Spark

Hive

Descrizione del lavoro

Come build the future of smart security with us. Are you excited about shaping the future of devices and services that keep people close to what’s important.

Ring's Decision Sciences Platform Team is looking for an experienced Data Engineer who is passionate about building scalable data and AI platform capabilities to accelerate innovation across the company. This role is critical in scaling our AI & Data Platform, which serves as the foundational layer for Ring’s growing Artificial Intelligence and Machine Learning initiatives. You will play a key role in ensuring the platform meets the demands of AI/ML model training, evaluation, and serving, enabling Ring to deploy AI across the full application lifecycle.

Responsibilities

• Design, build, and maintain robust data pipelines and AI integration solutions using AWS-native services and/or internal Amazon tooling.
• Build and support scalable ingestion, transformation, and serving layers that power AI/ML workflows, including Generative AI and Agentic AI systems.
• Collaborate closely with data scientists, software engineers, and product managers to deploy AI-first capabilities in customer-facing and internal applications.
• Improve and maintain existing data workflows to meet evolving compliance, security, and performance standards.
• Develop frameworks and tools to enable self-service access to data and AI assets across the organization.
• Conduct code reviews, enforce best practices for ETL and data hygiene, and drive engineering excellence across the team.
• Document architecture, designs, and operational processes to ensure scalability, reliability, and knowledge sharing.
• Stay current with advances in GenAI, Agentic AI, cloud-native AI platforms, and data engineering best practices.

Basic Qualifications

• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.