AI Data Engineering Specialist (Hybrid)

Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm’s Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses. 

As a Data Engineering Specialist within the Architecture & Modernization team, you will be instrumental in building and maintaining the data infrastructure for OneRiskStore project. This role will involve hands-on development, data pipeline creation, and close collaboration with stakeholders across the organization. This role requires a self-starter with strong execution skills and the ability to work independently. You will be expected to not only execute on the current strategy but also contribute to its evolution. We value diversity of thought and are committed to building a team that reflects the diversity of our global community.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you'll do in the role:

• Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes.

• Work with structured and unstructured data to ensure it is accessible and usable.

• Optimize data systems for performance and scalability.

• Implement data quality and data governance standards.

• Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions and provide data-driven insights.

• Contribute to the documentation and knowledge sharing within the team, creating, and maintaining technical documentation and training materials.

• Participate in code reviews and contribute to the improvement of development processes.

• Contribute to the broader data architecture community through knowledge sharing, presentations.

What you'll bring to the role:

• 8 years+ of being a practitioner in data engineering or a related field.

• Proficiency in programming skills in Python

• Experience with data processing frameworks like Apache Spark or Hadoop.

• Knowledge of database systems (SQL and NoSQL).

• Experience working on Snowflake and Databricks.

• Experience on Snowflake Cortex will be really appreciated.

• Familiarity with cloud platforms (AWS, Azure) and their data services.

• Understanding of data modeling and data architecture principles.

• Experience with data warehousing concepts and technologies.

• Experience with message queues and streaming platforms (e.g., Kafka).

• Experience with version control systems (e.g., Git).

• Experience using Jupyter notebooks for data exploration, analysis, and visualization.

• Excellent communication and collaboration skills.

• Ability to work independently and as part of a geographically distributed team.

Nice to have

• Familiarity with data visualization tools (e.g., Tableau, Power BI).

• Familiarity with data governance and security best practices (e.g., data access control, data masking).

• Experience with Agile methodologies.

• Familiarity with data catalog and metadata management tools (e.g., Collibra).

• Familiarity with CI/CD pipelines and DevOps practices.

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

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.

Build a career with impact. Visit morganstanley.com for more information

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.