Data Engineering Specialist

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 youll 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 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.

Responsibilities:

Platform Architecture and Data Engineering

• Build and maintain data solutions in Microsoft Fabric across Bronze Silver and Gold layers using CAEs 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

• Bachelors degree in Computer Science Engineering or a related field. A masters 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

At CAE our mission is clear: to help make the world a safer place. For nearly 80 years weve 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.

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 availablecontact your recruiter or email if needed.

Privacy Statement CAE

As part of our process we may use AIsupported tools to help review applications with human decisionmaking 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.