41 Database Management Systems jobs in Canada

Job Description

Company Overview 

At Ouster, we are pioneering the future of Physical AI by redefining the capabilities of deep learning. Through our groundbreaking digital lidar solutions, including the Ouster Gemini perception platform and BlueCity smart city applications, we deliver the critical intelligence needed to build a safer and more efficient world.

We are seeking a highly organized and detail-oriented Data Management Engineer to own, develop and operate our entire data pipeline, from collection to validation. In this critical role, you will be the bridge between our engineering teams, stakeholders, and external labeling partners. You will manage the full lifecycle of our datasets, ensuring the quality and integrity required to train and validate our advanced perception systems. The ideal candidate is a proactive problem-solver with a strong technical background in coding, data handling and a knack for process improvement.

Data Acquisition & Management

• Stakeholder Coordination: Liaise with internal teams to define data collection requirements and priorities, maintaining clear documentation on collection needs.
• Data Collection: Perform on-site data recording using our systems and directly obtain datasets from key stakeholders or customers.
• Data Storage & Archiving: Manage and organize large datasets across various storage solutions, including Google Cloud (GCloud) and local Network Attached Storage (NAS), ensuring data is secure, accessible, and up-to-date.

Data Processing & Validation

• Lidar Pre-processing: Conduct initial alignment and pre-validation of raw Lidar point cloud data to ensure its quality and usability.
• Data Validation & Quality Assurance: Design, Develop and Perform rigorous validation processes on labeled data received from vendors to confirm it meets our standards before being integrated into training or validation sets.
• Dataset Management: Handle the strategic splitting of datasets for training and validation purposes. Identify and document errors or inconsistencies in current datasets and coordinate with labeling teams for corrections.
• Validation & Regression Framework: Add new datasets into our validation framework, which includes creating precise Areas of Interest (AOIs) and generating new baseline performance metrics.

Labeling & Process Improvement

• Labeling Coordination: Manage the end-to-end labeling process by sending data to our labeling partners, tracking their progress, and serving as the primary technical point of contact.
• Documentation: Own and update all labeling documentation, including defining new classes and clarifying labeling instructions to ensure data consistency.
• Metrics & Reporting: Continuously improve the metrics and reports used for our validation, performance and regression testing, adding new parameters as needed to enhance our evaluation framework.
• Automation & Efficiency: Run, maintain, and improve our pre-labeling pipeline to increase the efficiency of our data operations.
• Tool & Industry Research: Conduct industry research to identify and evaluate new tools and technologies that can make our labeling and data management processes more efficient.

Required:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Proven experience in managing large-scale datasets and complex validation pipelines  for machine learning and computer vision applications.
• Proficiency in scripting languages such as Python for automation and data manipulation.
• Familiarity with data labeling processes and managing multiple labeling vendors.
• Strong organizational skills with the ability to manage multiple projects and priorities simultaneously.
• Excellent communication skills, with experience coordinating between technical teams and external vendors.
• Meticulous attention to detail, especially in data validation and quality control.
• Ability to identify a gap in processes and define a proper process to bridge over the gap.

Nice to have:

• Strong knowledge of C++ / RUST.
• DevOps or MLOps experience.
• Hands-on experience with Lidar data and point cloud processing.

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Job Description

At Katalyst Data Management, we are dedicated to delivering innovative solutions that drive success for our clients. Our commitment to excellence and continuous improvement has established us as a leader in the industry. As we expand our consulting services, we are looking to connect with talented individuals who can help us achieve our vision.

Position Overview:

We are currently accepting applications for the role of Data Management Consultant to build a pool of qualified candidates for future consulting opportunities. While there are no immediate openings, we recognize the growing demand for skilled data management professionals and want to be prepared to engage top talent as projects arise.

Key Responsibilities Examples:

• Collaborate with clients to assess their data management needs and develop actionable strategies.
• Design, implement, and optimize data management processes and systems.
• Ensure data quality and integrity through effective data governance practices.
• Analyze and interpret complex data sets, providing insights and recommendations for improvement.
• Train and support client teams on best practices in data management.

Qualifications:

• Bachelor’s degree in data management, Computer Science, Business Administration, or a related field.
• Proven experience in data management consulting, data governance, or relevant roles.
• Strong analytical skills and experience with data analysis tools and software.
• Excellent problem-solving capabilities and attention to detail.
• Effective communication and interpersonal skills to work collaboratively with clients and teams.

Why Join Katalyst Data Management?

• Opportunity to work on a variety of projects with diverse clients.
• Engage in a flexible work environment with opportunities for remote consulting.
• Contribute to innovative solutions that make a tangible impact.

If you are interested in being considered for future Data Management Consultant opportunities, please submit your resume and a brief cover letter outlining your qualifications and experience in the position by clicking the apply button.

We look forward to reviewing your application and possibly connecting with you for future opportunities!

Katalyst Data Management is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description

NFI Parts™ is North America’s most comprehensive organization providing parts, technical publications, training, and support for buses and motor coaches. NFI Parts is the parts division of NFI Group, providing replacement parts for New Flyer® transit buses, MCI® motor coaches, ADL buses, ARBOC® vehicles, as well as the product lines for the acquired NABI and Orion parts businesses. Additionally, NFI Parts has extensive cross references for parts that are common with other bus, coach, and cutaway product lines and has a mature supply base and established relationships with over 1,000 suppliers. Further information is available at

POSITION SUMMARY:

Working under the direction of the Sr. Technical Editor (Data Management), you are to research, analyze, markup and assemble build specific work research packages from multiple data sources such as Bills of Material (BOMs), engineering drawings, and vendor information. Perform manual update research and editing tasks as determined by the Sr. Tech Editor or Publications Coordinator when required.

WHAT YOU WILL DO:

• Create manual section research packages by extracting data from all available sources such as engineering BOMs, product photos, supplier documents, engineering specs, engineering drawings, and use to identify changes or new info to existing bus parts data.
• Effectively organize the assigned research information packages (both hard copy and electronic versions) in order of priority and project strategy so they can be completed and handed over to the illustration group within the deadlines given.
• Complete all Team Center research work tasks as assigned by Technical Editors and following established work procedures.
• Contact any engineering staff or Part Supplier to clarify and verify the accuracy of their data or to source new data if required. This is very important which requires proper communication and investigative skills in order to obtain the required information within the timeframe available for each project. Maintaining a good working relationship with each supplier.
• Maintain proper records of part supplier (vendor) data requests and perform follow-up actions to ensure that data requested is correct and obtained when required.
• Perform all research duties according to established procedures and guidelines and to proactively communicate with Technical Editors at any time when you are not certain.
• Perform editing tasks as determined by the Sr. Tech Editor or Publications Coordinator when required to supplement any shortfalls of editing capacity. Those tasks can include; SRPM template cleaning, editing, statistic reports, mentoring staff and supplying alternative solutions.
• Perform manual update recording and manual bulletin creation when required
• Complete tasks within specified time schedule deadlines and perform quality control checks of all work before handing in.
• Assign New Flyer part numbers to new OEM supplier parts.
• Properly maintain and archive source documentation in both electronic and hard copy formats.
• Collect and communicate to the Technical Editor all data inaccuracies identified during the project so they are promptly recorded into the update system.
• Perform efficiently and effectively in a team environment.
• Consult with Technical Editors for clarification and information.
• Upgrade skills on new or updated software.

Requirements

• Certification/diploma from recognized technical school as a Mechanical Technologist or equivalent workplace experience.
• 3-5 years experience in interpreting Manufacturing BOMs and engineering drawings into service parts lists.
• Heavy equipment/automotive parts manufacturing background.
• Experience in sourcing vendor data.
• Experience with Engineering Data Management systems such as TeamCenter.
• Capable of working under tight deadlines.
• Excellent investigative and communication skills in an engineering environment.
• Excellent mechanical aptitude.
• Effective customer service and investigative skills.
• Strong working knowledge in MS Office applications, Windows OS and network. Oracle database ERP system.
• Working experience in the technical publishing industry as a data research technician is an asset.

Benefits

WHY JOIN OUR TEAM:

• Competitive wages and a comprehensive benefits package.
• A continuous learning environment.
• Ability to advance your career with a growing company.
• Employee social committee organizes numerous events throughout the year, including summer barbecues, holiday festivities, sporting events and tournaments, and much more.
• Ongoing employee development through a variety of in-house training initiatives along with tuition subsidies for courses at outside institutions.

OUR WHY:

We exist to move people. Our mission is to design and deliver exceptional transportation solutions that are safe, accessible, e­fficient and reliable.

NFI Group is a leading independent global bus manufacturer providing a comprehensive suite of mass transportation solutions. News and information is available at and

Job descriptions may display in multiple languages based on your language selection.

What we offer: At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary: Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities:

This position is responsible to ensure and maintain a high level of support corresponding to the team leads in all activities of the department and ensure active participation in the daily business of his/her functional responsibilities. Need an analytical, well-educated, knowledgeable, experienced, and motivated team-player with strong IT background, work ethic and integrity that will become a key part of IT-SAP Team to implement and provide adequate support for MM/SD/FICO modules to SAP users across locations of North and South America region.

Knowledge of SAP MDG and SAP MDM, Data Quality tools, Dashboard reporting, ETL tools is considered asset. Able to provide training to users if needed or requested. This role uses business knowledge, IT background, SAP processes and excellent interpersonal and communication skills.

Your Responsibilities
Analyze business requirements and gaps not met by the existing systems / implementations

Identify feasible solutions within SAP framework and estimate effort needed to meet those business requirements and gaps

Implement solutions using SAP configuration, master data setup or code and support roll-out projects

Provide day-to-day SAP and MDM end-user support

Create a positive work environment by demonstrating and sharing functional/technical knowledge

Complete other duties as required by the Manager from time to time

Effectively uses teamwork to positively contribute to a high morale/high-performance team culture, consulting attitude and strong personal integrity

He/she ensures global support

Perform a complete, detailed needs analysis evaluating available applications and identifying opportunities for enhancing existing systems

Assist in system-related issues of manufacturing information processes/procedures

Assist in the coordination and collaboration of external consultants (Customer & Suppliers) as well as internal team members

Consult where requested for research and implementation assistance in regards to new modules, features or interfaced/integrated new products

Time tracking and documentation according to Magna Global IT standards

Support roll-out projects

Design practical, creative, conceptual technical solutions for business requirements balancing appropriate technology, cost and implementation timeline

Ability to map business processes to master data domains (e.g., customer, product, supplier)

Perform Root cause analysis for data quality issues

Identifying and resolving data conflicts and duplicates

Designing golden record strategies

Who we are looking for
Completion college diploma/certificate

A minimum of 5 years working as a business analyst, systems analyst, systems training, systems design, technical support, or applications programming

Interface knowledge between modules such as MM/SD interaction with FI/CO is an asset

Experience in Automotive Industry is desirable

Min 5 years of SAP working experience

Min 3 years of Master Data Management/Data profiling/Data governance hands-on experience

Must be able to work independently as well as a team player and can manage own workload

Previous experience in SAP implementation and development of SAP configurations is preferred

Knowledge of SAP MDG - Master Data Governance/MDM - Master Data Management is preferred.

Understanding of Data modelling, Data profiling and Cleansing, Meta Data Management is preferred.

Knowledge of Business Intelligence (BI) is preferred.

Knowledge of Power BI reporting is preferred.

Review and work up development requests & specs for ABAP programmers to develop customized functionality or reports to meet business requirements

Experience in project management with technical competence in SAP

Project and Time Management Skills

Analytical and flexible approaches in the projects and coordination of available resources

Able to configure and support in at least two of MM/SD modules in SAP

What we offer

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

In addition, we offer you the following site benefits:

An overview of our benefits will be discussed during the recruitment process.

Awareness, Unity, Empowerment: At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. Worker Type: Regular / Permanent Group: Magna Corporate

The AVP of Data Management leads the strategy and execution of the firm’s enterprise data infrastructure and engineering capabilities. This role defines and oversees the firm’s approach to database operations, data integration, ETL development, and production support. Reporting to the VP of Data & Analytics, the AVP sets the direction for building a scalable, secure, and high-performing data environment that enables business and analytics functions. This leader ensures the reliability, efficiency, and ongoing improvement of the firm's data platforms in alignment with enterprise priorities.

Key Accountabilities:
· Define and lead the data management and engineering strategy to support enterprise data needs.
· Oversee database management including setup, tuning, patching, upgrades, and backups.
· Lead the development, deployment, and support of ETL pipelines and data integration solutions.
· Ensure platform performance, scalability, and reliability across cloud and on-premise environments.
· Operate and support daily data processes including job monitoring, error handling, and incident resolution.
· Manage the development and optimization of SQL code to support production and reporting systems.
· Drive automation of recurring processes and operational efficiencies in data workflows.
· Collaborate with analytics and governance teams to ensure accurate, timely, and trusted data availability.
· Maintain metadata, job documentation, and system inventories across data assets.
Manage vendor platforms and tools used within the data ecosystem, ensuring alignment with technical and business requirements.

Tech Skills:
· Expertise in enterprise databases (e.g., SQL Server, Oracle, PostgreSQL, or Snowflake)
· Proficiency in SQL development, performance tuning, and stored procedure management
· Hands-on experience with ETL tools (e.g., Informatica, Talend, Azure Data Factory, dbt, or equivalent)
· Experience building and maintaining data pipelines (batch and real-time)
· Familiarity with job scheduling, monitoring, and alerting tools (e.g., Airflow, Control-M)
· Understanding of CI/CD practices, version control (e.g., Git), and deployment pipelines
· Knowledge of data quality frameworks and validation techniques
· Exposure to cloud platforms such as AWS, Azure, or GCP

Experience integrating data from CRM, custodial, and portfolio systems (preferred)

Experience:
Minimum 7 years of experience in data engineering, database management, or data platform operations
At least 3 years in a team leadership or management role
Experience working in or supporting financial services or wealth management is preferred
Strong documentation, troubleshooting, and communication skills
Ability to work in a regulated, security-conscious data environment

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