Laval, Qc Software engineering lead – data & analytics platforms (hybrid) Jobs – 21 Openings This Week

Software Engineering Lead – Data & Analytics Platforms (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- English
- Java
AI Enablement Engineering Tech Lead (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Computer Science
- Engineering
10d
Senior Data Access Protection Engineering Specialist (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Azure
- DevOps
Delivery Lead
Datatonic —Montréal, QC
- $120,000–$140,000 a year
- Full-time
- Remote
- CRM software
- Sales
- Salesforce
Lead Engineer, Marketing and Social Technology
Alltech Consulting Services Inc —Montréal, QC
- $70–$90 an hour
- Contract
- Hybrid work
- Bilingual
- Azure
- Computer Science
Quick apply
Staff Data Platform Engineer
OXIO —Montréal, QC
- Full-time
- Hybrid work
- SQL
- AWS
- APIs
Senior Risk Specialist, Analytics Infrastructure
TMX Group Limited —Montréal, QC
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Finance
Senior Analytics Developer
MaintainX —Montréal, QC
- Full-time
- Hybrid work
- English
- Software development
- AI
- Dental care
- Paid time off
Quick apply
Functional Architect – High-Performance Trading Systems
TMX Group Limited —Montréal, QC
- $120,000–$130,000 a year
- Full-time
- Hybrid work
- Bilingual
- Computer Science
- Engineering
AI Presales Engineer
Maya HTT —Montréal, QC
- Hybrid work
- Computer Science
- Sales
- Engineering
- Disability insurance
- Dental care
Quick apply
Architecte fonctionnel – Systèmes de négociation haute performance
TMX Group Limited —Montréal, QC
- $120,000–$130,000 a year
- Full-time
- Hybrid work
- Bilingual
- Computer Science
- Engineering
Senior Data Engineer
AppDirect —Montréal, QC
- $100,000–$135,000 a year
- SQL
- AWS
- Python
3d
Technical Implementation Engineer II
Landis+Gyr —Saint-Hubert, QC
- $85,700–$112,400 a year
- Bilingual
- Oracle
- Customer service
- Designated paid holidays
- Dental care
Go-To-Market (GTM) Engineer
Maya HTT —Montréal, QC
- Hybrid work
- Bilingual
- Sales
- English
- Disability insurance
- Dental care
Quick apply
Spécialiste principale ou spécialiste principal du risque, Infrastructure d’analyse
TMX Group Limited —Montréal, QC
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Finance
Solutions Architect
CGI —Montréal, QC
- Full-time
- Bilingual
- CRM software
- Azure
Quick apply
Solutions Architect
Pomerleau —Montréal, QC
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Commuter benefits
8d
Manager, Software & Product Development - Connected Aircraft
Bombardier —Dorval, QC
- Hybrid work
- Computer Science
- Engineering
- Bachelor's
- Employee assistance program
- Life insurance
Director, Artificial Intelligence
iA Groupe financier / iA Financial Group —Montréal, QC
- Hybrid work
- Bilingual
- Azure
- Computer Science
- Employee assistance program
1d

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software engineering lead – data & analytics platforms (hybrid) jobs near laval, qc

Software Engineering Lead – Data & Analytics Platforms (Hybrid)

Morgan Stanley -
Montréal, QC

Apply Now

Job details

Full-time

Qualifications

Bilingual
French
React
Full-stack development
Enterprise software
English
Java
SQL
Angular
Recruiting
Python
SDLC

Full job description

We’re seeking someone to join our team as a Software Engineering Lead – Data & Analytics Platforms in Finance Technology to drive the architecture and delivery of scalable finance technology platforms while leading a high-performing team and advancing cloud data, reporting, and GenAI capabilities across the development lifecycle.

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. This is a Principal Software Engineering position at Vice President level, which is part of the job family responsible for designing, develop ping, testing, and maintaining software systems and applications that support business needs through modern engineering practices.

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:

Lead the architecture, design, and delivery of scalable, enterprise-grade software systems using Java and/or Python, Angular and/or React, and other modern technologies, ensuring best practices in code quality, performance, and SDLC.
Drive the design and integration of cloud-based data, reporting, and analytics solutions (preferably Snowflake), including scalable data pipelines and ETL.
Champion the adoption of GenAI, LLMs, and Copilot-style AI tooling to enhance developer productivity, automation, reporting, and intelligent data distribution.
Provide technical leadership and mentorship to a high-performing engineering team, fostering a culture of technical excellence, innovation, collaboration, and continuous learning.
Partner with business stakeholders, product owners, and cross-functional teams to define strategy and requirements, evaluate tools, and deliver solutions aligned with organizational goals.
Champion modern SDLC practices — automated testing, CI/CD, and agile delivery — to ensure high-quality, scalable, and maintainable solutions.
Drive automation, code quality, data quality, and engineering best practices across all systems and pipelines.
Ensure robust governance, security, and compliance throughout the software and data lifecycle.

What you’ll bring to the role:

10+ years in software engineering, including substantial data-platform experience, with a proven track record of delivering enterprise-level solutions.
Deep full-stack expertise (Java and/or Python, Angular and/or React, and related technologies) with a strong command of data structures, algorithms, design patterns, and modern SDLC.
Proven experience building and scaling enterprise applications in cloud environments.
Strong hands-on data engineering capability: SQL, data modelling, ETL, and scalable pipelines, ideally on a cloud data platform such as Snowflake.
Proficiency across additional languages and frameworks, and the ability to learn new stacks quickly.
Demonstrated experience leveraging GenAI, LLMs, or Copilot style tools for software development, automation, reporting, or analytics.

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.

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:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 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 opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .

Apply Now

Refine Your Search

software engineering lead – data & analytics platforms (hybrid) jobs in laval, qc

Software Engineering Lead – Data & Analytics Platforms (Hybrid)

AI Enablement Engineering Tech Lead (Hybrid)

Senior Data Access Protection Engineering Specialist (Hybrid)

Delivery Lead

Lead Engineer, Marketing and Social Technology

Staff Data Platform Engineer

Senior Risk Specialist, Analytics Infrastructure

Senior Analytics Developer

Functional Architect – High-Performance Trading Systems

AI Presales Engineer

Architecte fonctionnel – Systèmes de négociation haute performance

Senior Data Engineer

Technical Implementation Engineer II

Go-To-Market (GTM) Engineer

Spécialiste principale ou spécialiste principal du risque, Infrastructure d’analyse

Solutions Architect

Solutions Architect

Manager, Software & Product Development - Connected Aircraft

Director, Artificial Intelligence

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