Data Engineering Specialist

CAE Inc; Montreal (administrative region); On-site; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Group insurance

Telemedicine

Employee and Family Assistance Program

Group RRSP

CAE Pension Plan / Defined BenefitPlan

Sabbatical leave

Flex time

Enhanced parental leave

Job summary

CAE Inc in Montreal is seeking a Senior Data Platform Engineer to design and expand our data platform in Fabric, building scalable data solutions across Bronze, Silver, and Gold layers. You will work with cross-functional teams to deliver reliable data pipelines and analytics capabilities.

The role emphasizes DevOps practices, data governance, and collaboration with architects, product teams, and data scientists.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Master’s degree is an asset.
• At least 6 years of experience in data engineering with strong hands-on coding in Python, Spark, SQL.
• 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 with relational and NoSQL databases, including SQL Server, PostgreSQL, and Cosmos DB.

Responsibilities

• 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.

Skills

Python

Spark

SQL

Data engineering

Data pipelines

Algorithms

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Master’s degree is an asset

Tools

Visual Studio Code

Git

Microsoft Fabric

Lakehouses

OneLake

Pipelines

Notebooks

Medallion architecture

Terraform

SQL Server

PostgreSQL

Cosmos DB

Azure Data Factory

Airflow

Kubernetes

Databricks

Purview

Power BI

Job description

Senior Data Platform Engineer

Job Description 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

• 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.

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 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.
• 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 [e-mail] if needed.

We hold ourselves accountable for building an inclusive community at every level, and our comprehensive benefits support you professionally and personally. Together, we are All For shaping a future where safety, sustainability, and inclusivity lead the way. Join us and be part of something bigger - where your impact reaches beyond CAE and helps shape the world of tomorrow.

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.