Senior Data Engineering Specialist (Hybrid)

PowerToFly; Montreal (administrative region); Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading financial services firm in Montreal is looking for a Senior Data Engineering Specialist to join the Credit Risk - Data Infrastructure team. This role focuses on developing and optimizing data pipelines while leveraging machine learning techniques. The ideal candidate brings extensive experience in Data Warehousing, solid programming skills in Python, and an understanding of DevOps practices. This position offers a hybrid work environment and the opportunity to collaborate with a talented team dedicated to innovation and excellence.

Benefits

Comprehensive employee benefits

Supportive and inclusive environment

Opportunities for career movement

Qualifications

• 7+ years of working experience in Data Warehousing.
• Excellent understanding of Data Warehousing concepts.
• Good programming skills with any programming language (Python preferred).
• Knowledge about DevOps implementation in Data space.

Responsibilities

• Support infrastructure related upgrades involving database and other environments.
• Develop and support of Data Ingestion Framework.
• Implement DevOps techniques and practices.

Skills

Data Warehousing

SQL

Python

Unix shell scripting

DevOps implementation

Spark

Snowflake

Databricks

Communication

Interpersonal skills

Education

Bachelor’s degree in computer science or related field

Job description

We're seeking someone to join our Credit Risk - Data Infrastructure team as a Senior Data Engineering Specialist in Risk Tech to plan, design and contribute towards database development (Data Warehousing, ETL etc.) and engineering activities.

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 Lead Data & Analytics Engineering position at Vice President level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions and individuals around the world achieve their financial goals.

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:

• Support infrastructure related upgrades involving database and other environments.

• Develop and support of Data Ingestion Framework (using Spark, Python Scripting, Databricks, Snowpipe etc.)

• Implement DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Git

What you’ll bring to the role:

• 7+ years of working experience in Data Warehousing

• Bachelor’s degree in computer science or related field

• Excellent understanding of Data Warehousing concepts (i.e., Data modelling, data transformations)

• Strong Skills in Relational Databases and writing complex SQL

• Good programming skills with any programming language (Python preferred)

• Good understanding of Unix shell scripting

• Knowledge about DevOps implementation in Data space

• Hands on experience with Spark, Snowflake and/or Databricks

• Excellent communication, interpersonal skills

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:

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.