Senior Trading Cloud Data/Quant Engineer – Quant Trading : Milan, Italy : $300k Package + Equity

We are partnered with a technology-driven quantitative trading firm seeking a Trading Cloud Data/Quant Engineer to join a core engineering group responsible for mission-critical trading and research infrastructure.

This role sits at the intersection of cloud infrastructure, real-time data, and trading systems, supporting both live execution and research workflows in a performance-sensitive environment.

The Opportunity

You’ll help design and operate highly scalable, low-latency platforms that power data ingestion, trading engines, and machine-learning workflows. Working closely with quants, trading engineers, and researchers, you’ll play a key role in optimizing execution performance and ensuring the reliability of systems that run around the clock.

The firm places a strong emphasis on engineering excellence, automation, and performance, offering a technically deep role with real ownership and impact.

Key Responsibilities

• Build and maintain AWS-based infrastructure supporting trading and research platforms
• Design and operate cloud-native data pipelines (batch and real-time)
• Develop and support Kafka-based streaming systems and connectors
• Work on trading engine and execution data flows, with a focus on reliability and performance
• Contribute to latency and execution optimization across data and service layers
• Support cloud databases and high-throughput storage solutions
• Enable and support ML workflows used by research and trading teams
• Collaborate across engineering, trading, and quantitative research teams

Key Requirements

• Strong hands-on experience with AWS infrastructure and cloud services
• Solid background in data engineering, including large-scale pipelines
• Experience with Kafka, distributed systems, and streaming architectures
• Exposure to trading engines, execution systems, or performance-critical platforms
• Understanding of latency optimization and high-performance system design
• Experience working with cloud databases (SQL and/or NoSQL)
• Familiarity with ML workflows in production or research environments
• Background in quantitative trading, financial markets, or similar high-performance domains is advantageous

Why This Role

• Join a high-performing, engineering-led quant firm
• Work on systems directly supporting live trading and research
• Technically challenging problems with real commercial impact
• Competitive compensation, strong bonuses, and long-term incentives