Data Engineering Specialist-EN
CAE
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Benefits offered by this job
Job summary
CAE seeks a Senior Data Platform Engineer to design and improve scalable data solutions using Python, Spark, SQL, and Microsoft Fabric across Bronze, Silver, and Gold layers. You will review code, guide technical decisions, and support data platform needs across cross‑functional teams.
Responsibilities include building data pipelines, data warehouses, and data lakes; applying DevOps practices; ensuring data governance; collaborating with product teams, architects, and data scientists; and
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.
Responsibilities
- 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.
- 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.
- 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
Education
Tools
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
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
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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, 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.
Regular
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 CAECarrieres-Careers@cae.com if needed.
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.
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