What you'll do in the role:

- Design and develop resilient on-prem and multi-cloud database solutions with Java, Spring Boot, Angular, and Python.
- Develop high-performance solutions that efficiently handle large-scale data and metadata operations leveraging Python’s multithreading and multiprocessing libraries and ensure robust error handling and resource management in parallel execution environments.
- Deliver secure, high-performance and efficient database and ETL capabilities using Java Collections Framework, data structures, algorithms, and object-oriented design principles, while ensuring scalability, governance, and reliability.
- Design and develop full-stack applications, including responsive web user interfaces, RESTful APIs, backend services, and integrations with database and ETL platforms.
- Build self-service capabilities, operational dashboards, workflow automation, and metadata-driven solutions using up-to-date web technologies and microservices architectures.
- Develop AI-driven solutions to discover, classify, and protect sensitive information within unstructured data, leveraging advanced natural language processing and automated data masking techniques
- Build solutions with pushdown optimization, ELT, ETL, Spark-based data processing and streaming, replication, partitioning, clustering, change data capture, and time travel debugging.
- Design and build automations and tooling to enable firmwide data engineering and application development teams, helping them optimize data processing based on their specific database platforms and user needs.
- Contribute to strategic initiatives around system modernization, platform standardization, observability, and cost efficiency.
- Develop solutions leveraging database backup and restore methods,



DDL generation and manipulation, database access management, schema and object-level high-performance data movement.

What you'll bring to the role:

- 4+ years of proven track record in designing and implementing complex database and data solutions with full stack application development.
- Strong expertise in database/data engineering across multiple database platforms and environments (e.g., PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.).
- Hands‑on experience developing full‑stack applications using Java/Spring Boot, Python, REST APIs, and Angular.
- Strong understanding of API design, microservices architecture, authentication mechanisms (OAuth, service principals, token‑based authentication), and secure application development practices.
- Experience in writing complex Python scripts, with a particular focus on building and optimizing multi‑threaded, multi‑process, concurrent, and asynchronous solutions; exposure to distributed computing tools (such as Apache Spark for Python) is an asset.
- Experience in designing and developing AI‑powered solutions using Large Language Models (LLMs), retrieval‑augmented generation (RAG), and agentic workflows.
- Ability to build and optimize data pipelines and data architectures (preferred using Talend, Kafka, and/or Informatica).
- Expertise in performance optimization, scalability, troubleshooting,



analytical problem‑solving, and software design.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required

Développeur(euse) Full Stack – Ingénierie des données (hybride)

Nous sommes à la recherche d’une personne qui se joindra à notre équipe d’Obfuscation des données à titre de développeur(euse) Full Stack – Ingénierie des données afin de concevoir et de livrer des plateformes et services de données évolutifs, sécurisés et réutilisables qui soutiennent les initiatives de protection et d’obfuscation des données à l’échelle de l’entreprise.

Ce que vous ferez dans ce rôle :

- Concevoir et développer des solutions de bases de données résilientes sur site (on‑premises) et dans des environnements multinuagiques à l’aide de Java, Spring Boot, Angular et Python.
- Développer des solutions hautement performantes capables de traiter efficacement des opérations de données et de métadonnées à grande échelle en tirant parti des bibliothèques de Python pour le multithreading et le multiprocessus, tout en assurant une gestion robuste des erreurs et des ressources dans des environnements d’exécution parallèles.
- Fournir des capacités de bases de données et d’ETL sécurisées, performantes et efficaces en utilisant le Java Collections Framework, les structures de données, les algorithmes et les principes de conception orientée objet, tout en assurant l’évolutivité, la gouvernance et la fiabilité.
- Concevoir et développer des applications Full Stack, y compris des interfaces util

📌 Développeur(euse) Full Stack – Ingénierie des données (Montreal)
🏢 Morgan Stanley
📍 Montreal