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Senior Data Engineer

CAE Inc. -
Saint-Laurent, QC

Apply Now

Job details

Full-time

Qualifications

Computer science
Power BI
Azure
Computer Science
Kubernetes
DevOps
Engineering
Data structures
Spark
Microsoft SQL Server
NoSQL
Git
Master's degree
Databases
SQL
Bachelor's
PostgreSQL
Terraform
Scripting
GitHub
Kafka
Data visualization
Python
Hadoop

Full job description

***YOU MUST RESIDE IN MONTREAL***

Our engineers are the technical visionaries driving our innovative solutions. Renowned globally for designing, integrating, and delivering state-of-the-art simulation and training systems, you’ll tackle complex challenges, collaborate across functions, and lead advancements that shape the future of our industry. Supported by a culture that fosters flexibility, growth, and technological excellence, our engineers are empowered to make a meaningful impact every day. Whether your passion lies in data, mechanical, or aerospace engineering, CAE provides the environment to refine your skills and create a lasting legacy in safety and simulation

Key Responsibilities:

We are looking for a Senior Data Platform Engineer with strong hands-on coding skills and solid experience in modern data engineering. The ideal candidate has experience with Python, Spark, Git, Microsoft Fabric, and medallion architecture across Bronze, Silver, and Gold layers. In this role, you will design and improve scalable data solutions, help guide technical decisions, review and write code, support team members, and promote strong engineering practices.

Platform Architecture and Data Engineering

Build and maintain data solutions in Microsoft Fabric across Bronze, Silver, and Gold layers using CAE’s data platform framework.

Support and improve the enterprise data platform, including data warehouses and data lakes.

Design, build, and maintain data pipelines using SQL and big data tools such as Spark, Kafka, or Hadoop.

Develop reliable processes to ingest, transform, and deliver data from a variety of sources.

Integrate data from internal, external, and IoT sources to support business needs.

Build and maintain backend data solutions that support analysts, data scientists, and other business users.

Operations, Quality, and Delivery

Apply DevOps practices to improve the development and deployment of data solutions.

Identify opportunities to automate manual work and improve data delivery processes.

Follow data governance, architecture, and security standards.

Monitor data pipelines and provide support when issues arise.

Collaboration and Technical Leadership

Work closely with product teams, data experts, architects, and other stakeholders to solve technical issues and support data platform needs.

Help guide technical decisions, review code, and share best practices with the team.

Collaborate with cross-functional teams on data and AI initiatives.

Stay current with industry trends and recommend improvements to the platform and delivery processes.

Minimum Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field. A master’s degree is an asset.

At least 6 years of experience in data engineering with strong hands-on coding in Python, Spark, SQL, and related scripting languages.

Experience using Visual Studio Code and Git in modern development workflows.

Required hands-on experience with Microsoft Fabric, including Lakehouses, OneLake, pipelines, notebooks, and medallion architecture across Bronze, Silver, and Gold layers.

Strong understanding of computer science fundamentals, including data structures and algorithms.

Experience with Terraform.

Experience working with cross-functional teams in a fast-paced environment.

Experience with relational and NoSQL databases, including SQL Server, PostgreSQL, and Cosmos DB.

Preferred Qualifications

Experience with workflow and orchestration tools such as Azure Data Factory and Airflow.

Experience with DevOps and Github and infrastructure deployment tools such as ARM.

Experience with Microsoft cloud and data platforms such as Fabric, Azure, Databricks, and Purview.

Knowledge of medallion architecture across Bronze, Silver, and Gold layers.

Experience with stream-processing technologies such as Spark Streaming.

Familiarity with Kubernetes.

Proficiency in Power BI for reporting and data visualization.

Benefits

Group insurance

Telemedicine

Employee and Family Assistance Program

Group RRSP

CAE Pension Plan / Defined Benefit Plan

Sabbatical leave

Flex time

Enhanced parental leave

About CAE

At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we’ve driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success.

Position Type

Regular

Equal Opportunity & Accommodations

CAE is committed to providing equal opportunities to all applicants, regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by law. We encourage applicants who may not meet every qualification to apply. Reasonable accommodations are available—contact your recruiter or email [email protected] if needed.

Data Privacy

Privacy Statement | CAE

As part of our process, we may use AI‑supported tools to help review applications, with human decision‑making at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.

Apply Now

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