Manufacturing Engineer jobs in Canada
EY AI Data - Senior Engineer Canada, Ontario, Toronto
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The Azure Databricks Data Engineer will be instrumental in building and maintaining an optimized data ecosystem using Azure Databricks. You will be responsible for developing and managing data pipelines, ensuring data quality, and enabling advanced analytics capabilities. Your role will involve close collaboration with data scientists, analysts, and other stakeholders to deliver data-driven solutions that support the strategic goals of EY.
Your Key Responsibilities
As a Data Engineer, you will:
- Design, construct, and maintain scalable data pipelines and ETL/ELT processes across Snowflake and/or Azure Databricks environments.
- Develop data processing workflows using Databricks Notebooks, Spark SQL, and/or Snowflake SQL.
- Optimize data storage and processing performance to support real-time analytics and business intelligence.
- Collaborate with cross-functional teams to gather requirements and translate business needs into technical specifications.
- Build and maintain data models, data marts, and data warehouses to support analytics and reporting.
- Implement data governance, security, and compliance best practices across cloud data platforms.
- Troubleshoot and resolve data processing issues, ensuring high data quality and integrity.
- Provide technical guidance on platform capabilities and mentor junior data engineers.
- Stay current with the latest features and trends in Snowflake, Databricks, and cloud data engineering.
- Develop and maintain documentation related to data pipeline architecture, development processes, and governance.
Skills and Attributes for Success
- Certifications such as Snowflake SnowPro, Azure Data Engineer Associate, or Azure Data Scientist Associate.
- Experience with BI tools like Power BI, Tableau, or Looker.
- Familiarity with machine learning frameworks, data science concepts, and big data tools.
- Experience with version control systems (e.g., Git) and workflow orchestration tools (e.g., Apache Airflow).
- Understanding of DevOps practices, CI/CD pipelines, and data integration techniques.
To Qualify for the Role, You Must Have
- A Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Proven experience as a Data Engineer with hands-on expertise in Snowflake, Databricks, and/or Azure.
- Strong programming skills in Python, Scala, or Java.
- Proficiency in SQL, data modeling, and data warehousing concepts.
- Knowledge of cloud platforms such as Azure, AWS, or GCP, and their integration with Snowflake.
- Experience with Apache Spark and its integration with Databricks.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a fast-paced, team-oriented environment.
What we offer
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:
- Support and coaching from some of the most engaging colleagues in the industry
- Learning opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way that’s right for you
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
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EY Senior DevOps Infrastructure Engineer Canada, Ontario, Toronto
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As a Senior DevOps and Infrastructure Engineer, you will play an integral role in designing, building, and maintaining scalable, secure, and efficient infrastructure across Azure and AWS environments. With your expertise in container orchestration, CI/CD pipelines, Infrastructure as Code, and ML Ops, you will help drive automation, streamline deployment processes, and ensure robust security compliance throughout the software development lifecycle. The ideal candidate will possess hands-on experience with Kubernetes, Docker, Terraform, and cloud platforms while demonstrating the ability to collaborate across development, operations, and data science teams to enable transformative business outcomes.
Your key responsibilities
- CI/CD Pipeline Management: Design, implement, and manage CI/CD pipelines using tools such as GitHub Actions, Jenkins, or Azure DevOps, ensuring integration of automated security and quality checks.
- Cloud Infrastructure Development: Develop and maintain scalable, secure cloud infrastructure on Azure and AWS using Infrastructure as Code (IaC) tools like Terraform and CloudFormation.
- Kubernetes Management: Deploy, manage, and monitor Kubernetes clusters (AKS, EKS) to support containerized workloads, leveraging Helm charts for repeatable deployments.
- Containerization Standards: Implement and maintain containerization standards using Docker, focusing on security, scalability, and efficient resource utilization.
- Collaboration with ML and Data Engineering: Collaborate with ML and data engineering teams to enable ML Ops workflows, supporting reproducible model training, CI/CD for machine learning components, and automated deployment to production environments.
- Security Integration: Integrate and manage security tools and practices, such as container security scanning, secrets management, and compliance monitoring across cloud infrastructure and CI/CD pipelines.
- Monitoring and Logging Solutions: Set up and configure monitoring and logging solutions (e.g., Prometheus, Grafana, Azure Monitor, CloudWatch) to ensure high availability, performance, and rapid incident response.
- Architectural Design Participation: Participate in architectural design sessions, providing input on DevOps best practices, scalability, and security for new solutions and enhancements.
- Automated Testing Support: Support automated testing frameworks and contribute to code quality initiatives through integration with platforms such as SonarQube or Checkmarx.
- Operational Automation: Develop scripts and automation to streamline routine operational tasks, reduce manual intervention, and improve team efficiency (Python, Bash, PowerShell, or similar).
- Documentation Maintenance: Maintain robust documentation for infrastructure, deployment processes, and operational procedures, ensuring transparency and knowledge sharing across teams.
- Troubleshooting and Issue Resolution: Troubleshoot infrastructure, deployment, and pipeline issues, liaising with developers, QA, and support teams as needed to resolve complex problems.
- Industry Trends and Innovations: Stay current on industry trends, cloud service updates, and DevOps tooling, proactively recommending improvements and innovations to the platform ecosystem.
Skills and attributes for success
- Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
- Experience: 4-6 years of hands-on experience in DevOps, Infra Engineering, or a related discipline.
- Certification: Relevant professional certifications (e.g., Azure/AWS Architect, Kubernetes Administrator, Terraform Associate, etc.) are an asset.
- CI/CD Pipeline Management: Design, implement, and manage CI/CD pipelines using tools such as GitHub Actions, Jenkins, and Azure DevOps, integrating security tools like AquaSec, Mend,
- Checkmarx, and SonarQube for enhanced DevSecOps practices.
- Infrastructure as Code (IaC): Develop and maintain scalable and secure infrastructure deployment using IaC tools such as Terraform, ARM Templates, or Bicep.
- Container Management: Manage and optimize Azure Kubernetes Service (AKS) clusters, including deployments using Helm charts, and implement container security with AquaSec to ensure compliance with best practices.
- Security Integration: Integrate Mend into CI/CD pipelines to manage open-source dependencies and vulnerabilities, perform static application security testing (SAST) using Checkmarx, and enable secure code scanning.
- Code Quality Analysis: Set up and utilize SonarQube to analyze code quality, enforce coding standards, and maintain high software quality.
- Application Deployment: Use Docker or similar containerization technologies to package and deploy applications consistently across different environments, and deploy applications on cloud platforms
- (AWS, Azure, Google Cloud) or on-premise servers, configuring web servers (Nginx, Apache) and managing domains and SSL certificates.
- Programming Skills: Basic proficiency in programming languages, particularly Python and .NET, for developing custom integrations and automating pipeline processes.
- Cloud Environment Knowledge: Strong understanding of cloud environments, specifically AWS and Azure, and their respective services to effectively manage and deploy applications in the cloud.
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Ebay MTS Software Engineer Canada, Ontario, Toronto
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Job Title: MTS 1, Software Engineer
Start Date: January 19, 2026
days per annum , 5 sick days per annum
highly available
deployment
Identify project technical risks and make recommendations to mitigate
Use deep technical proven experience of company systems and applications, which could cover applications, services, systems, or frameworks
a high level of initiative and attention to detail during daily operations
Collaborate effectively with other engineers, product managers, designers, and QA engineers
Encourage peers with high-quality, hands-on technical contributions
methodology , design, and best practices.
Consistently produce high-quality software with a focus on unit testing, regular code reviews, and continuous integration.
high standards in quality and operational excellence.
Develop comprehensive technical documentation and presentations to clearly communicate architectural decisions and design options. Ensure documentation aligns with project scopes, milestones, and deliverables.
Effectively delegate tasks and responsibilities within the team, considering individual skills and workload
Lead the development of prototypes and proof-of-concept implementations for new technologies or approaches.
Required Experience
The language of work is English.
Bachelor of Engineering degree plus 8 or more years of experience ; or MS in Computer Science plus 6 or more years of hands-on experience in developing highly scalable distributed platforms and services and internet scale web application
Highly experienced in application development in JAVA and Kotlin and its related frameworks such as like Spring, Spring Boot, Hibernate, Stream processing platforms such as Kafka and Flink ;
in Oracle ADF 12c Framework, JavaScript , HTML and
in J2EE, SOAP, SOA Services, Design Patterns, OOA/D, Data Structures, XML, REST, JSON, and Internet Protocols ;
in a programming language such as Scala, solid base in data structures, algorithms and a strong understanding of multithreading, synchronization, concurrent programming; deep architectural understanding of system design and lead ing
noSQL data technology such as Mongo , ElasticSearch and related toolset ;
in Spring boot and Hadoop framework ;
in retail and logistics ;
ility to troubleshoot performance bottlenecks in
participating in design and code reviews, coding and unit testing of fault-tolerant applications. Comfortable or have familiarity with all the layers of multi-tier applications to craft complete solutions and maintain products
Solid understanding of computer science fundamentals. Experience in non-functional skills like Security, Load and Performance Tests, Accessibility, Site Speed optimization, Cross-browser /Cross-platform UX Design
Excellent verbal and written communication, leadership, and collaboration skills
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Ebay Senior Software Engineer Fullstack Canada, Ontario, Toronto
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The Impact You Will Make Here
The Senior Software Engineer is responsible for coordinating the design, development, and implementation of software solutions. This role combines technical expertise with leadership skills to guide a team of developers, ensure outstanding deliverables, and drive the successful completion of projects. Candidates must have in-depth software development expertise, proven ability to deliver complex solutions, hands-on experience with Java and GCP, and capability to lead a small engineering team autonomously.
Architect, design, develop and test complex, multi-tier distributed Warehouse Management System software systems
Lead architecture discussions, develop well-documented design docs, and facilitate development and code reviews ensuring alignment with industry standards
Work with product managers, collaborators, and cross-functional teams to build software solutions that fulfill functional and non-functional needs, establish project plans and deliverables
Estimate engineering effort, plan execution cycles, and roll out system changes
Identify and address performance bottlenecks in software systems & ensure systems are secure, scalable, and maintainable
Write Unit and Integration tests and ensure software developed meets high quality standards
Stay updated on emerging technologies and integrate them into development processes whenever applicable
Function as a team leader utilizing communication, leadership, and problem-solving skills
What You Bring to the Team
Bachelor’s degree in Computer Science or related field plus 8+ years of experience or Master’s degree in Computer Science or related field plus 7+ years of hands-on experience in building large-scale distributed systems
Strong expertise in front-end technologies such as HTML, CSS, JavaScript, and React
Strong expertise in designing and developing REST API
Extensive hands-on experience and expertise in object-oriented design methodology and application development using Java/J2EE and Kotlin, including frameworks such as Spring Boot
Hands-on experience with Google Cloud Platform (GCP), particularly in Google Cloud Run and deployment pipelines
Deep understanding of SQL Databases, with an emphasis on Postgres. Familiarity with tuning systems, architecture, thread management, and problem analysis
Expertise with Terraform deployments
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Ebay MTS Software Engineer Data Platform Canada, Ontario, Toronto
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This role is focused on Data Platform Engineering — not data engineering. While familiarity with Spark, Flink, and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself, not just authoring data pipelines.
What you’ll do and learnOwn and deliver major components of eBay’s Data Platforms — from design through production rollout.
Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
Contribute to long-term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.
Build systems that balance latency, correctness, and cost while ensuring security and compliance.
Drive operational excellence for services you own, including observability and incident response.
Collaborate across product, infra, and analytics teams to align execution with business needs.
Learn and grow in areas like governance, orchestration, and privacy engineering.
Experience designing large-scale distributed systems (compute, storage, APIs, streaming).
Ability to independently deliver complex projects from requirements to production.
Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
Strong communication skills to influence cross-team technical outcomes.
Growth mindset with curiosity to learn new technologies.
Impact at scale: powering global analytics and ML systems.
Challenging problems: streaming, freshness/correctness, and multi-cloud resiliency.
Collaborative culture that values inclusion and knowledge sharing.
Support & growth: flexibility, benefits, and career development resources.
Focus on reliability and sustainable on-call practices.
8+ years of distributed systems or data platform experience.
Proven ability to design and deliver critical systems with impact.
Proficiency in Java/Python, CI/CD, and containerized environments.
Hands-on expertise in tools like Kafka/Flink, Spark, Delta/Iceberg, Kubernetes, NoSQL/columnar stores.
Experience in streaming and batch data platforms.
Strong foundation in algorithms and distributed design.
BS/MS in CS or equivalent experience.
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Johnson Electric Manufacturing Technician - Finishing Canada, Ontario, Hamilton
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Schedule:Rotating shifts and overtime as required
As our next, you’ll be responsible for optimizing finishing operations to improve throughput, reduce downtime, and ensure high-quality production. You’ll work with advanced CNC and robotic systems, troubleshoot equipment, and support continuous improvement initiatives.
Why You’ll Love Working Here:- Employee Empowerment: A culture that empowers employees to take initiative and make impactful decisions.
- Diverse Projects: Work on a variety of projects across different industries, gaining broad experience.
- Mentorship Opportunities: Access to mentorship programs that help you grow both personally and professionally.
- Global Mobility: Opportunities for international assignments and transfers to broaden your career horizons.
- Ethical Practices: A commitment to ethical business practices and integrity in all operations.
• Optimize finishing processes to improve throughput
• Document changes to set points, programs, and parameters
• Execute PM and TPM activities to reduce downtime
• Troubleshoot and maintain CNC lathes, machining centers, grinders, and special-purpose machinery
• Support robotics systems including Motoman, Kuka, and Fanuc
• Provide technical support and assist in training team members
• Ensure safety features are implemented on all machines
• Maintain equipment documentation and records per ISO/TS 16949 standards
• Collaborate with team leaders using 5W techniques for troubleshooting
• Participate in continuous improvement and quality initiatives
• Adhere to Johnson Electric’s policies, safety, and environmental standards
• Diploma in Mechanical or Manufacturing Engineering Technology
• Certificate in CNC Programming or equivalent experience preferred
• 5–7 years of experience in high-speed automotive manufacturing preferred
• Familiarity with ISO/TS 16949 quality systems
• Experience with Fanuc, OKUMA, Siemens CNC systems and robotics
• Strong blueprint reading and GD&T interpretation skills
• Proficiency in using measuring equipment and interpreting CMM reports
• High energy, flexibility, and physical endurance
• Strong communication and problem-solving skills
• High integrity and results-driven mindset
Working Conditions:
• Manufacturing environment with limited climate control
• Standing and walking for long periods
• Exposure to machinery and technical equipment
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Johnson Electric Quality Engineer Canada, Ontario, Stratford
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As our next, you’ll be at the forefront of developing, applying, and maintaining quality standards for industrial processes, materials, and products. Your expertise inwill be crucial in driving our commitment to excellence and continuous improvement.
Why You’ll Love Working Here:- Innovative Environment : Work on cutting-edge technologies and innovative projects that push the boundaries of what’s possible.
- Professional Growth : Opportunities for continuous learning and professional development through training programs and workshops.
- Collaborative Culture : A supportive and collaborative work environment where teamwork and knowledge sharing are encouraged.
- Competitive Compensation : Attractive salary packages and comprehensive benefits that reward your hard work and dedication.
• Develop and initiate standards and methods for inspection, testing, and evaluation
• Improve gauges and methods to meet quality targets
• Conduct GRR studies and ensure correct gauge selection for production
• Monitor quality and capability data, issue alerts, and communicate trends
• Resolve internal quality issues and support scrap reduction initiatives
• Direct workers in product measurement and testing
• Participate in external quality issue resolution and Fast Response activities
• Compile training materials and conduct quality control training sessions
• Ensure compliance with Quality Management and Environmental Health & Safety Systems
• Champion CI projects and lead teams with scrap reduction goals
• Interact and engagement with customers to address customer quality or concerns promptly.
What We’re Looking For:• College Diploma or University Degree in a technical discipline
• 1–3 years of experience in a quality engineering role in manufacturing
• Experience in automotive parts manufacturing quality assurance
• Strong computer skills, including Microsoft Office and CMM Programming
• Excellent math, problem-solving, and multitasking abilities
• Proficient in English (spoken and written)
• Knowledge of statistical software ex. Minitab and understanding of process capabilities
• Powder Metal manufacturing or machining experience would be asset
• Excellent computer skills knowledge in Microsoft Office programs, Power BI and CMM Programming
Bonus Points If You Have:• Professional designation as a Quality Engineer (ASQ and/or CQE)
• Experience with training development and internal audits
What We Offer:
Johnson Electric offers talented people like you the opportunity to grow professionally and personally, surrounded by some of the most dedicated, innovative, and entrepreneurial colleagues you will find anywhere. Of course, we offer competitive pay and benefits, and far more than that, we offer you a culture driven by our values and designed to ensure that our most important asset—our people—can flourish.
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The Azure Databricks Data Engineer will be instrumental in building and maintaining an optimized data ecosystem using Azure Databricks. You will be responsible for developing and managing data pipelines, ensuring data quality, and enabling advanced analytics capabilities. Your role will involve close collaboration with data scientists, analysts, and other stakeholders to deliver data-driven solutions that support the strategic goals of EY.
Your Key Responsibilities
As a Data Engineer, you will:
- Design, construct, and maintain scalable data pipelines and ETL/ELT processes across Snowflake and/or Azure Databricks environments.
- Develop data processing workflows using Databricks Notebooks, Spark SQL, and/or Snowflake SQL.
- Optimize data storage and processing performance to support real-time analytics and business intelligence.
- Collaborate with cross-functional teams to gather requirements and translate business needs into technical specifications.
- Build and maintain data models, data marts, and data warehouses to support analytics and reporting.
- Implement data governance, security, and compliance best practices across cloud data platforms.
- Troubleshoot and resolve data processing issues, ensuring high data quality and integrity.
- Provide technical guidance on platform capabilities and mentor junior data engineers.
- Stay current with the latest features and trends in Snowflake, Databricks, and cloud data engineering.
- Develop and maintain documentation related to data pipeline architecture, development processes, and governance.
Skills and Attributes for Success
- Certifications such as Snowflake SnowPro, Azure Data Engineer Associate, or Azure Data Scientist Associate.
- Experience with BI tools like Power BI, Tableau, or Looker.
- Familiarity with machine learning frameworks, data science concepts, and big data tools.
- Experience with version control systems (e.g., Git) and workflow orchestration tools (e.g., Apache Airflow).
- Understanding of DevOps practices, CI/CD pipelines, and data integration techniques.
To Qualify for the Role, You Must Have
- A Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Proven experience as a Data Engineer with hands-on expertise in Snowflake, Databricks, and/or Azure.
- Strong programming skills in Python, Scala, or Java.
- Proficiency in SQL, data modeling, and data warehousing concepts.
- Knowledge of cloud platforms such as Azure, AWS, or GCP, and their integration with Snowflake.
- Experience with Apache Spark and its integration with Databricks.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a fast-paced, team-oriented environment.
What we offer
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:
- Support and coaching from some of the most engaging colleagues in the industry
- Learning opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way that’s right for you
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
These jobs might be a good fit
