198 Data Engineers jobs in Canada
Technical VP - Big Data Platform
Posted 4 days ago
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Job Description
Huawei Canada has an immediate permanent opening for a Technical VP.
About the team:
The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.
One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.
About the job:
Conduct in-depth analysis of mainstream products and advanced technologies in the data domain. Achieve groundbreaking innovations in big data engine, data-AI integration, large model data engineering, and software-hardware co-design on heterogeneous platforms. Explore the evolution direction of AI and big data, and drive the development of data and cutting-edge technologies.
Develop comprehensive AI big data technology strategies and roadmaps, acting as a visionary in technical aspect to achieve commercial success. Lead the development of data domain products and build industry-leading big data + AI products to meet data processing requirements in the era of large models.
Be responsible for attracting global talent and assembling a first-class research team. Lead the team to deliver competitive high-quality data domain products, ensuring the leading position in the market. As the director of the Big Data Committee, preside over major technical solution reviews and decision-making processes.
Participate in big data industry and academic conferences or communities, and leverage open-source platforms/projects to enhance the influence of Kunpeng Architecture and its ecosystem in the big data domain.
Senior Researcher - AI Powered Big Data Platform
Posted 4 days ago
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Job Description
Huawei Canada has an immediate permanent opening for a Senior Researcher.
About the team:
The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.
One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.
About the job:
Track the emerging technical trends and developments for big data and AI systems in both industry and academia, conduct in-depth insight and survey analysis, and identify the direction of key cutting-edge technologies for AI-powered big data systems.
Collaborate closely with stakeholders to comprehend their business needs thoroughly. Translate these requirements into innovative and effective technology solutions that align with organizational objectives.
Analyze and define key software requirements and features, develop the proof-of-concept (PoC) AI-powered big data system infrastructure (based on our existing infrastructure) and optimize its performance and performance per cost.
Integrate the PoC system into our existing product and deliver it to the production team.
Generate intellectual property such as patents and trade-secrets from research findings, and/or publish papers in peer-reviewed scientific journals/conferences.
Present research findings at conferences and participate in research collaborations with external research institutes and universities.
Relocate to Malta Data Engineer (Consulting/Big 4)
Posted today
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Job Description
Job Description
Our client is a Microsoft Gold Partner and leader in Microsoft software implementations for medium to large organisations, providing their clients with the ability to keep up with the ever-changing digital world by implementing Microsoft’s M365, Azure, Microsoft’s Enterprise Resource Planning (ERP) and Customer Engagement (CE) software from the Microsoft Dynamics 365 (D365) software line.
Role Overview
Our client is looking for a talented Data Engineer who will assist in designing and implementing Business Intelligence (BI) and large-scale Data Analytics solutions for their customers. The role is highly technical and requires a robust understanding of data architecture and modelling concepts. The role also demands strong analytical, problem solving, and planning skills. The successful applicant will require strong communication and collaboration skills and the motivation to achieve results in a dynamic business environment.
Job Location: Sliema, Malta
Work Type: Hybrid
Job Type: Full-time, Permanent
Working Hours: GMT +1
Salary: Base + Benefits (Paid in Euros €)
Relocation: VISA & Relocation Package Included
Requirements
- Experience in designing and implementing Azure Data solutions using services such as:
- Azure Synapse Analytics
- Azure Data Lake Storage Gen2
- Azure SQL Database
- Azure Data Factory
- Azure Stream Analytics
- Azure Databricks
- Azure Blob storage
- Azure Cosmos DB
- Have working knowledge of Microsoft Power BI
- Experience in OLAP technology and the Microsoft BI Stack (SSIS/SSRS/SSAS)
- An understanding of Master Data Management and Data Governance frameworks
- Familiar with development approaches such as CI/CD and Microservices
- Have working knowledge of Azure DevOps
- Strong communication and collaboration skills
- Strong analytical thinking and problem-solving skills
- Be customer-service oriented
- Be able to work in a fast-paced, changing environment
- Proficient in spoken and written English
- Graduate-level education in Computer Science or a relevant field, or a widely recognised professional qualification at a comparable level
- Formal training and/or certification on related technologies is highly valued
- Minimum of three (3) years working in a similar role
- Knowledge of Microsoft Dynamics 365 products, the Dataverse (CDS) and Microsoft Power Platform will be considered an asset
Responsibilities
- Architecting and general end-to-end design of BI and Data Analytics solutions
- Designing and building efficient, appropriate, data models and pipelines
- Helping to embed technical architecture and documentation standards, governance, policies, processes, and procedures
- Working with business experts and customers to understand business needs, translating business requirements into reporting and data analytics functionality
- Assisting in scoping, estimation and task planning for assigned projects
- Remaining up to date in new and emerging technologies
- Following project work plans to meet functionality requirements, project objectives, and timelines
- Providing accurate and complete technical architectural documents
- Addressing customer queries and issues in a timely manner
- Providing hands on guidance to other team members
Relocate to Malta Data Solution Architect (Consulting/Big 4)
Posted today
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Job Description
Job Description
Our client’s Microsoft Business Solutions team is a Microsoft Gold Partner and leader in Microsoft software implementations for medium to large organisations, providing their clients with the ability to keep up with the ever-changing digital world by implementing Microsoft’s Enterprise Resource Planning (ERP) and Customer Engagement (CE) software from the Microsoft Dynamics 365 (D365) software line. As they continue to grow and strengthen their support and managed services offerings, they are seeking an experienced Service Delivery Manager to join their team.
Role overview
Our client is looking for an experienced and talented Data Solution Architect who will help to grow our data delivery team: architecting, designing and implementing large-scale Data Platform, Business Intelligence (BI) and Analytics solutions for our clients.
The role is highly technical and requires a robust understanding and hands-on expertise of Microsoft Azure cloud technologies, data architecture and modelling concepts. The role also demands strong analytical, problem solving, and planning skills. The role requires strong communication and collaboration skills and the motivation to achieve results in a dynamic business environment.
Job Type: Full Time
Work Place: Onsite
Location: Malta, Europe (Relocate to Malta)
Relocation : VISA & Relocation Package Included
Requirements:
- Minimum of three years working in a similar senior role
- Experience in designing and implementing Azure Data solutions using services such as:
- Microsoft Fabric
- Azure Synapse Analytics
- Azure Databricks
- Azure Data Lake Storage Gen2
- Azure SQL Database
- Azure Data Factory
- Azure DevOps
- Azure Stream Analytics
- Microsoft Power BI
- Familiar with Azure Purview
- An understanding of Master Data Management and Data Governance frameworks
- Familiar with development approaches such as CI/CD
- Familiar with Azure DevOps
- Strong communication and collaboration skills
- Strong analytical thinking and problem-solving skills
- Ability to work as a team player and leader in a diverse technical environment
- Be customer-service oriented
- Be able to work in a fast-paced, changing environment
- Proficient in spoken and written English
- Willing to travel across the UK and abroad when required
- Graduate-level education in Computer Science or a relevant field, or a widely recognised professional qualification at a comparable level
- Formal training and/or certification on related technologies is highly valued
- Knowledge of Common Data Models/Industry Data Models will be considered an asset
- Experience in OLAP technology and the Microsoft on-premises BI Stack (SSIS/SSRS/SSAS) will be useful but is not compulsory
- Knowledge of Microsoft Dynamics 365 products and the Microsoft Power Platform will be considered an asset
Responsibilities
- Architecting and overall end-to-end design, deployment, and delivery of Azure Data Platforms, across Data Lakes, Data Warehouses, Data Lakehouses, pipelines, BI and Data Analytics solutions
- Presales, estimating and proposal writing, responding to RFPs
- Remaining up to date in new and emerging technologies
- Working with clients to develop data technology strategy and roadmaps, and plan delivery
- Oversight and support of delivery team outputs
- Data modelling, design, and build
- Enforcing technical architecture and documentation standards, policies and procedures
- Analysing, implementing, and resolving issues with existing Azure Data Platforms
- Working with business experts and customers to understand business needs, and translate business requirements into reporting and data analytics functionality
- Assisting in scoping, estimation, and task planning for assigned projects
- Following the project work plans to meet functionality requirements, project objectives and timelines
- Providing accurate and complete technical architectural documents
- Addressing customer queries and issues in a timely manner
- Providing mentoring and hands on guidance to other team members
Microsoft Business Solutions Overview
Your long-term future is every bit as important to our client as it is to you. That’s why their aim is to give you experiences that will stay with you for a lifetime. Whether it’s great training and development, mobility opportunities or corporate responsibility volunteering activities – you’ll gain a wealth of experiences on which to build a rewarding career. Our client is a firm that encourages you to be yourself, values your contribution, and inspires you to act as a role model, always focused on doing the right thing for each other, their clients, and their communities.
This sets out all the different ways you’ll be rewarded at the firm. Among other things, you can benefit from honest conversations about your career as well as a range of other rewards. In all these ways and more, they have created an environment that can bring out the best in you.
#Bethechange and #makethechange. Join our client’s talented, successful team and make the leap into the future.
Don’t worry, our client knows that relocation can be a challenge, which is why they have an extremely supportive onboarding team to help you throughout this process! - They provide relocation support for you and your family. Our client is looking forward to meeting you and seeing you grow.
Data Engineer
Posted 5 days ago
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Job Description
The **Data Engineer** will work closely with senior developers to build out new and maintain existing ETL pipelines in Airflow. They will be part of our Data Technology team working with an all new technology stack, working closely in collaboration with internal and external stakeholders.
Now, if you were to come on board as our **Data Engineer**, we’d ask you to do the following for us:
- Design, implement and maintain data pipelines for extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
- Build and maintain existing Airflow DAGs
- Maintain and add to our middle tier API
- Prototype new technology that supports our vision of making our consumer’s experiences better with our data
- Provide support and insights to the business analytics and data science teams
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
Think you have what it takes to be our **Data Engineer**? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role:
- At least 2-3 years of relevant experience in a similar role or function
- Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar
- Programming skills with Python and Spark
- Exposure to at least one cloud provider, AWS preferred
- Knowledge of SQL, relational database concepts and SQL scripting
- Some experience with Airflow highly preferred, or similar systems
- Web Development skills with languages and frameworks like Angular, Node.js would be a plus
- Experience with Docker, Kafka or other data stream processing software platform is preferred
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