Full Stack Developer – Data Engineering (Hybrid)
Morgan Stanley1 day ago
Montréal, CanadaSenior
Responsibilities
- Design and develop resilient on-premises and multi-cloud database solutions using Java, Spring Boot, Angular, and Python.
- Build high-performance data and metadata processing solutions using Python multithreading, multiprocessing, concurrency, asynchronous execution, and robust resource management.
- Develop secure database, ETL, ELT, streaming, replication, partitioning, clustering, change-data-capture, and data movement capabilities.
- Create full-stack applications with responsive web interfaces, APIs, backend services, database integrations, dashboards, workflow automation, and metadata-driven features.
- Develop AI-powered solutions for sensitive-data discovery, classification, protection, natural language processing, masking, LLMs, retrieval-augmented generation, and agentic workflows.
- Build automation and tooling for data engineering and application development teams and contribute to modernization, platform standardization, observability, and cost-efficiency initiatives.
- Implement database backup and restore, DDL generation and manipulation, database access management, and schema- and object-level data movement.
Requirements
- More than 4 years of experience designing and implementing complex database and data solutions alongside full-stack application development.
- Strong database and data engineering expertise across multiple platforms, including PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, and Oracle.
- Hands-on experience with Java/Spring Boot, Python, APIs, and Angular for full-stack application development.
- Understanding of API design, microservices architecture, OAuth, service principals, token-based authentication, and secure application development.
- Experience writing and optimizing complex multithreaded, multiprocess, concurrent, and asynchronous Python solutions; Apache Spark experience is an asset.
- Experience designing and developing AI-powered solutions using LLMs, RAG, and agentic workflows.
- Ability to build and optimize data pipelines and architectures; Talend, Kafka, and Informatica experience is preferred.
- Expertise in performance optimization, scalability, troubleshooting, analytical problem-solving, and software design.
- Knowledge of French and English is required.
Benefits
- Hybrid work arrangement combining remote work and office attendance in Montreal, Quebec.
- Morgan Stanley provides comprehensive employee benefits and perks, support for employees and families, equal-opportunity employment, and internal mobility opportunities.
Tech Stack
AngularApache KafkaApache SparkIBM DB2InformaticaJavaMicrosoft SQL ServerMongoDBPostgreSQLPythonSnowflakeSpring BootTalend
Categories
Data EngineeringFull Stack
About Morgan Stanley
Morgan Stanley is a global financial services firm that provides investment banking, sales and trading, wealth management, and investment management to corporations, governments, institutions, and individuals. It earns fees, commissions, and interest and trading income across advisory, underwriting, brokerage, and asset management businesses. Founded in 1935 and headquartered in New York, the public company operates in more than 40 countries through thousands of offices, including a large U.S. wealth management franchise.