Data Specialist jobs in Canada
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 Electrical PLC Control Specialist - CME Canada, Ontario, Hamilton
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Location:Ancaster, ON (Home location is Ancaster but travel will be required to Mississauga and Stratford)
As our next, you'll be responsible for designing control systems for new machines, troubleshooting and/or modifying existing control systems, and performing systems project management.
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.
Global Presence : Be part of a global company with diverse teams and the opportunity to work on international projects.
What You’ll Be Doing:
Designs, develops and implements Control Systems
Programs PLC’s including Allen Bradley, Siemens and ControlLogix
Programs HMI & servo systems program
Programs robotics and automation systems
Integrates electrical systems
Coordinates and supervises machine startups and process launch
Designs control panels, wiring diagrams and BOM
Troubleshoots electrical systems - (575 volts, wiring, fuses etc)
Understands of Wonder Ware software
Instructs maintenance personnel on the use, functionality, and programming of all automation systems
Mentors licensed Electricians and help them develop PLC programming and troubleshooting skills
Assists in automation cell improvements and actively implements continuous improvement initiatives related to automation and robotics
Press appreciation projects (repairs and rebuilds) will be a key focus
Support plant major breakdowns and repairs as needed
Adheres to Johnson Electric’s policies and procedures
Adheres and supports Johnson Electric’s Safety and Environmental policies and practices
Ensure the requirements of the Quality Management System, IATF 16949 and ISO 14001 are conformed to
Other duties as assigned
Qualifications:
University Degree in Electrical Engineering or College Diploma
Minimum 5+ years of demonstrated skills and experience in controls and data acquisition in an automotive manufacturing environment
Ability to function within multidiscipline teams and to act as a team lead on specific projects an asset
Technical & Skill Requirements:
Strong interpersonal and leadership skills
Strong computer skills (AutoCAD, MS Office, etc.)
Able to communicate effectively, both written and verbally, at all levels of the organization.
High level of integrity and dependability with a strong sense of urgency and results orientation.
Knowledge of Cincinnati, Dorst, and SMS presses is preferred
WORK ENVIRONMENT (including Physical Demands):
Combination of office environment and manufacturing environment
Exposure to noise, heights, confined spaces, poor lighting conditions, material, products and by-products associated with the manufacturing of powered metal components, exposure to metal working fluids, temperatures, and weather extremes that require the use of specialized protective devices, clothing or equipment
Required to climb stairs, ladders and scaffolding to access elevations, able to crouch for periods of time, push, pull, lift, and turn while carrying tools, material and equipment in various parts of the facility. Excessive walking. Operate material handling equipment including cranes, lift trucks chain hoists etc.
Travel between plants as needed on projects or support needed at each plant
Home location is Ancaster but travel will be required to Mississauga and Stratford
Ability to travel preferred. Travel will be reimbursed as per JE Travel policies (use of own vehicle).
Willing to work overtime.
Project and support requirements may include afternoon or night shifts and weekends
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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MongoDB Senior Solutions Architect Performance Specialist Canada, Quebec, Montreal
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- Ideally 3-8 years of related experience in a customer facing role, with 3 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Significant experience in automated performance testing, including writing test plans, executing tests on tools like Locust, Gatling, jMeter, etc, and interpreting results using tools like Grafana, Prometheus, Kibana, etc
- Knowledge of infrastructure deployments for distributed systems such as Cloud Providers (AWS, GCP, Azure) and on-prem systems (VMWare, OpenShift, Kubernetes)
- Ability to project manage cross-functional teams
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Significant experience with data modeling relational databases and NoSQL databases like MongoDB
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 20%
- A Bachelor’s degree or equivalent work experience
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
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Johnson Electric Product Development Engineer/Specialist Canada, Ontario, Stratford
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As our nextProduct Development Engineer / Specialist,you'll beresponsible to support and lead the development and manufacturing implementation of new Powder Metal components and products.
Why You’ll Love Working Here:
Inclusive Workplace : An inclusive and diverse workplace where all employees are valued and respected.
Technological Leadership: Be part of a company that is a leader in its field, driving technological advancements.
Work-Life Balance: Flexible working hours and policies that support a healthy work-life balance.
Recognition Programs: Programs that recognize and reward employee achievements and contributions.
Community Engagement: Opportunities to participate in community service and corporate social responsibility initiatives.
What You’ll Be Doing:
Participate and contribute in product and process Feasibility Reviews
Acquire and analyze process and product data; make recommendations based on the analysis of these results
Create and implement new procedures through verbal and written instruction to Production Staff
Participate in the design and implementation of preventative and corrective actions
Guide other team members as appropriate and required
Develop and update Advanced Product Quality Planning documentation such as Process Flow Diagrams, Process Failure Modes and Effects Analysis, Process Control Plans, Process Sheet documents and others when required.
Verify the accuracy and approve product documents as required
Work with Production and Quality to aid in the troubleshooting of production parts and processes; providing support where needed
Work on multiple product lines where opportunities exist
All other duties as assigned
What We’re Looking For:
Technician or Technologist in a Metallurgical, Materials or Mechanical discipline
C.E.T. designation eligibility considered an asset
Must be an individual with a practical hands-on approach and strong organizational skills
Demonstrated experience working in a fast-paced manufacturing environment such as Automotive
Demonstrated experience in establishing and working with timelines to achieve objectives
Strong Computer Literacy. Good knowledge of MS Excel and similar Microsoft products
Working knowledge in the use of AutoCad
Working knowledge of basic statistical methods for data analysis and comparisons
Basic ability to read technical drawings
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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 Data Analyst Manager Canada, Ontario, Toronto
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In the Assurance Digital and Innovation team, you will be joined by a team of multidisciplinary professionals in versatile roles, which includes data analytics, programming, automation, and data visualization. You will experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities.
Your Key Responsibilities
- Work within our Assurance Digital and Innovation team to design and develop complex Power BI reports, following industry standards
- Export, transform, validate, and output large and complex data sets for use in reports
- Collaborating with EY teams and clients to understand the relevant business problems and data needs to develop reports
- Ensure all solutions comply with the highest levels of security, privacy and data governance requirements
- Work on and manage mid-size projects, and ensure smooth service delivery on assigned products and engagements
- Maintain and develop positive, productive, and professional relationships with clients and stakeholders
Skills and attributes for success
- 3+ years of professional experience with dashboards and data visualization using Microsoft Power BI, including data model design. Deep understanding of writing SQL, and DAX functions
- Strong understanding of BI best practices, analysis, visualization, and latest BI trends
- Solid working knowledge of report and dashboard design and development tools and techniques
- Curiosity to learn the business methodology, data model and user personas.
- Experience following DevOps best practices, such as unit testing, branching, builds, deployment, regression testing, etc.
- The ability to provide excellent client service and manage and build strong relationships both internally and externally, coupled with a strong interest in further developing and integrating operations with technology skills
To qualify for the role you must have:
- An undergraduate degree in computer science, computer engineering, business or accounting, or another related field
- A minimum of three years’ work experience, with preference for experience at a Big 4, or top tier consulting firm with data analytics services, or a similar transformation change role
- A basic understanding of financial or accounting terminology
- Strong interest in BI design, data analytics, data transformation
- Strong project management and organizational skills with an ability to multitask
- Excellent communication skills with an ability to explain technical terms to a non-technical audience
- A critical and logical thinker who is able to work both independently and in a team environment
- Process driven individual with a strong attention to detail
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EY AI Data - Senior Consultant Manager Architect Halifax Canada, Nova Scotia, Halifax
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We are seeking a Senior Consultant or Manager - Data Architect for our AI & Data practice team. We are looking for a candidate with strong technical leadership background, hands experience with Azure, Microsoft Fabric, Data Bricks, Pursuits, proposal and delivery.
Skills and attributes for success
- The ability to provide excellent client service and manage and build strong relationships both internally and externally, coupled with a strong interest in further developing and integrating operations with technology skills
- Provide architecture leadership & subject matter expertise to client engagements focusing on complex & innovative products and reusable assets
- Develop solution plans, prior to kicking off a project as part of a product life cycle, intended to support business investment decisions which means they must hold the appropriate balance between costs, risks and quality of the product
- Create innovative and practical designs that account for the end-to-end technical solution of a system, in line with the business strategy and objectives and within the context of EY's technology environment
- Work closely and continuously with the business/client to focus on meeting business/client requirements and incorporating broader aspects such as overall product costs/revenue, data privacy & sovereignty, business continuity, information security, integration with other systems etc.
- Identify, define and implementing reusable assets and standards. The data architect is also responsible for adherence to these standards and consumption of reusable assets across products and portfolios
- Ensure relevant technical strategies, policies, standards, and practices are applied correctly across Technology programs/projects and products
- Contribute to the development of architecture governance structures, methodologies, and compliance activities
- Work with the vendors to assess vendor products, understand vendor's delivery models and assist in implementing them at EY
- Ability to work across multiple projects with varied stakeholders. A Data Architect sets architectural direction, builds consensus, mediates conflicts providing technical leadership and advisory services to the business. He/she anticipates needs and potential objections and helps to create an environment which solicits positive contributions from all participants: Data and Technical Architects, engineering teams, product manager, project managers, product analysts, test and project teams, Information Security and Operations
- Demonstrate excellent interpersonal communication and organizational skills that are required to operate as a leading member of global, distributed teams that deliver quality services and solutions.
- Cultivate lasting relationships across business, IT and vendors / industry analysts to maintain insight into the broader enterprise as well as industry trends
- Recognizes industry technology trends and emerging technologies, understands how they apply to EY and can drive their adoption into our organization
- Evangelizes and encourages the importance of technical quality, emerging technologies, sharing & experimentation across the org through mentoring, hackathons, communities etc.
- Drives an ongoing communication plan to educate stakeholders on the purpose and benefits of data architecture
- Guide others in resolving complex issues in data architecture and solves complex, escalated aspects of a project
- Monitor the progress and the quality of the project and reviews and develops due diligence to confirm the developed solution complies with architectural design
To qualify for the role, you must have
- Bachelor’s degree in computer science, mathematics, data science, informatics, operations research, engineering, or a related field
- Awareness of emerging issues, including regulations, industry practices and new technologies
- Data Platform experience
- Microsoft Azure
- Data Modelling skills
- Databricks
- Data Engineering
Ideally, you’ll also have
- Interest in Data Analytics along with experience in programming is a highly desired. You will need to demonstrate strong technical problem-solving abilities
- Cloud infrastructure
- Microsoft Fabric
- Unity Catalog
- Data Bricks assets Bundles (DAB)
- CI/CD
- Data Migration
- 5+ years of experience in the field
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
These jobs might be a good fit
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.
These jobs might be a good fit
