Hybrid Full-Stack Data Engineer: Secure Data Platforms

Morgan Stanley; Montreal (administrative region); Hybrid; CAD 90,000 - 140,000; Full time

Job summary

Morgan Stanley in Montreal, QC seeks a Full Stack Developer – Data Engineering (Hybrid) to design scalable data platforms and secure data pipelines. You will build on‑prem and multi‑cloud solutions using Java, Spring Boot, Angular, and Python to support enterprise data protection initiatives.

The role emphasizes robust data engineering, API design, and AI‑powered data discovery, with a global, collaborative tech culture and a hybrid work model in Montreal.

Qualifications

• 4+ years designing complex database and data solutions.
• Experience with PostgreSQL, Snowflake, or similar databases.
• Hands-on full-stack development with Java, Python, and Angular.
• Knowledge of API security and microservices patterns.

Responsibilities

• Design and develop on-prem and multi-cloud data platforms.
• Build scalable ETL and data pipelines with Java, Python, and Spark.
• Develop secure REST APIs and full-stack web applications.
• Create self-service dashboards and metadata-driven solutions.

Skills

Java

Spring Boot

Angular

Python

REST APIs

Data Engineering

Tools

Spark

Talend

Kafka

Job description

Morgan Stanley in Montreal, QC seeks a Full Stack Developer – Data Engineering (Hybrid) to design scalable data platforms and secure data pipelines. You will build on‑prem and multi‑cloud solutions using Java, Spring Boot, Angular, and Python to support enterprise data protection initiatives.

The role emphasizes robust data engineering, API design, and AI‑powered data discovery, with a global, collaborative tech culture and a hybrid work model in Montreal.